Publications

Publication Type: Journal Article

Year of Publication Publication Type Title

2019

Journal Article

R. Ramprasath and Shanmughasundaram, R., “STCKF algorithm based SOC estimation of Li-Ion battery by dynamic parameter modeling”, Communications in Computer and Information Science, 4th International Symposium on Signal Processing and Intelligent Recognition Systems, SIRS 2018; , vol. 968, pp. 229-239, 2019.[Abstract]


State of Charge (SoC) is the important criterion which reflects the actual battery usage. So, the State of Charge (SoC) has to be precisely estimated for improving the life and the rate of utilization of the battery. During normal operation of the battery, parameters like charge and discharge efficiency, temperature, etc., tend to affect the accurate estimation of SoC. In this paper, for estimating battery SoC with higher accuracy, Strong Tracking Cubature Kalman Filtering (STCKF) is used and the battery model parameters are identified using the method of Recursive Least Square (RLS). Simulation results indicate, STCKF estimates the SoC values as that of Ampere-Hour (AH) method with very minimal error and the dynamically modeled battery parameter values follows the same discharge characteristics as that of real batteries. © 2019, Springer Nature Singapore Pte Ltd.

More »»

2018

Journal Article

Lekshmi R. R. and Dr. Balamurugan S., “Load Following Under Different Market Models in a Restructured Power System”, Journal of Electrical Systems, vol. 14, no. 1, pp. 72– 85, 2018.[Abstract]


Load following is one of the major components which ensures the secured operation of power systems. The complexity of the load following control strategy increases when the system operates under deregulated environment. A load following system has to control not only the frequency and tie line power but also the power generation as per the contract. The contract is decided by any one of the three market model namely single buyer, bilateral and poolco model. This paper develops load following system operating under different models. The generalized factors based on which the load following satisfies the scheduled and violated power are computed for all market models. Finally the system is simulated under different models with contract violation to justify the performance of load follower. The developed generalized market participation factors and violation participation factors make the load follower to yield desired secured power system.

More »»

2018

Journal Article

S. Athira and Murthy, O. V. Ramana, “Face authentication using thermal imaging”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 1006-1014, 2018.[Abstract]


The objective of the paper is to develop an algorithm for face authentication using thermal imaging. Thermal imaging makes use of thermal cameras to detect infrared radiation emitted by objects. Thermal images are especially useful for face detection and authentication because of its low sensitivity to illumination changes and its ability in detecting disguises. The objective of the project is achieved through three stages. In the first stage, an existing algorithm is verified by implementing it on the benchmark dataset. Currently existing face authentication algorithms have only been verified by implementing on datasets having plain background i.e. images without any background objects. There is a need to investigate the efficiency of face authentication algorithms on realistic scenarios. So, in the second stage an effort had been put forth to create a new dataset of images with realistic background and analyse the performance of various existing face authentication algorithms on the new dataset. © 2018, Springer International Publishing AG.

More »»

2018

Journal Article

R. Pathak and Sivraj, P., “Selection of algorithms for pedestrian detection during day and night”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 120-133, 2018.[Abstract]


This paper presents an image processing based pedestrian detection system for day and night contributing to Advance Driver Assistance System (ADAS). The process, Histogram of Oriented Gradient (HOG) with Support Vector Machine (SVM) as linear classifier is compared and analyzed against Convolution Neural Network (CNN) for performance selection of best algorithm for pedestrian detection during both day and night. Performance analysis was done on standard datasets like INRIA, ETH, etc. and locally created datasets on Intel Processor with Ubuntu operating system. Implementation of HOG-SVM algorithm was performed, using DLib, python (2.7) and OpenCV (3.1.0) and accuracy of 96.25% for day and 96.55% for night was obtained. The implementation of Convolution Neural Network was performed using Anaconda3, TFLearn and python (3.6) and the scheme achieved an accuracy of 99.35% for day and 99.9% for night. © 2018, Springer International Publishing AG.

More »»

2018

Journal Article

A. Suyampulingam and Subbiah, V., “PMSG based wind turbine system connected to DC micro-grid with MPPT control”, International Journal of Pure and Applied Mathematics, vol. 118, pp. 99-105, 2018.[Abstract]


A simple sensor-less maximum power point extraction scheme for a Permanent Magnet Synchronous Generator (PMSG) connected wind turbine supplying power to a DC micro-grid has been proposed in this paper. The wind extraction topology has a small-scale wind turbine directly coupled with a PMSG. The three phase output voltage of the generator has been rectified using a 3φ uncontrolled rectifier and a DC–DC buck converter whose output voltage is controlled as per the modified Maximum Power Point Tracking (MPPT) algorithm. The algorithm changes the resistance value as viewed from the source and in turn affects the rotor speed to change such that Power Coefficient (Cp) of the wind turbine reaches its maximum value. This algorithm detects quick wind speed and reaches its maximum power point (MPP) by adjusting the slope of the power with respect to duty ratio of converter. The proposed system has been developed and simulated using MATLAB/SIMULINK under varying wind conditions and the maximum power is obtained. © 2018 Academic Press. All Rights Reserved.

More »»

2018

Journal Article

J. Jachak and Vijayakumari, A., “Wireless power transfer system with quasi z-source inverter”, International Journal of Pure and Applied Mathematics, vol. 119, pp. 353-358, 2018.[Abstract]


This paper presents the design, development and implementation of a high power density and improved efficiency Wireless Power Transfer System (WPTS) as applied for Electric Vehicle battery charging. A quasi Zsource inverter (qZSI) is used to accomplish voltage inversion and boost in a single stage, thus reducing the converter size escalating the power density. Further, the compensation and the inductive coupling is enhanced by an apt combination of the passive elements to maintain a stable output voltage irrespective of the variations in load. The design of compensation circuit, logic for qZSI PWM and the boost control are presented. The entire WPT system is simulated using MATLAB/Simulink platform and tested with various boost options and the results are presented. A maximum efficiency of as high as 87 % is achieved with the designed WPT system. © 2018 Academic Press. All rights reserved.

More »»

2018

Journal Article

P. Arunkumar and Vijith, K., “IOT enabled smart charging stations for electric vehicle”, International Journal of Pure and Applied Mathematics, vol. 119, pp. 247-251, 2018.[Abstract]


As more countries are moving towards pollution free traffic, EVs are gaining more popularity across the globe. As the number of EVs increases, EV charging infrastructure will be also a basic need. A system with IoT will definitely streamline the performance of EV charging and looks the impacts. This method is helpful for transportation systems, and V2G systems. This proposed system will improve the city planning and makes the city life easy. With IoT we can easily manage the whole V2G system which will definitely saves time and money. This work is to make a smart application to connect with the grid and to know the different tariff rates of the grid.The tariff rates will have both the rate for power delivery to the grid and tariff rate for taking power from the grid. If the user is having the car battery fully charged,he can deliver some power to the grid and can earn some money. SoC is measured using the ARM Mbed controller and transmitted to cloud. The application will also displays the battery status(SoC) of the user when he comes to the grid. © 2018 Academic Press. All rights reserved.

More »»

2018

Journal Article

J. Savithry and N. Prakash, K., “FPGA implementation of DFT processor using vedic multiplier”, International Journal of Pure and Applied Mathematics, vol. 118, pp. 51-56, 2018.[Abstract]


Many a times Mathematical computations are easier in frequency domain than time domain. Discrete Fourier transform (DFT) is a tool to convert signals from time domain to frequency domain which is widely used mainly in Digital Signal and Image Processing applications. Fast Fourier Transform (FFT) is a method to find DFT in time constraint applications which is affected by number of complex multiplier. In this paper 16-bit DFT using Vedic Multiplier, a high-speed multiplier is proposed with an objective to replace conventional complex multiplier and to decrease computation time. The proposed system is implemented in Virtex-4 FPGA and the results show that FFT using Urdhva Tiryakbhyam algorithm of Vedic multiplier is faster than other methods of DFT. © 2018 Academic Press. All Rights Reserved.

More »»

2018

Journal Article

P. L. Santhosh Kumar, S. Kumar, S., I. Thirunavukkarasu, and V.S. Bhat, “Experimental validation of pi controller based on pole placement for a batch distillation column”, International Journal of Pure and Applied Mathematics, vol. 118, pp. 413-419, 2018.[Abstract]


The article presents the decentralized Proportional Integral (PI) controller which is designed and implemented with decoupler for a Batch Distillation Process. Decoupler is used to minimize the interaction combining it with decentralized control algorithm. In order to minimize the loop interaction between the loops, an ideal decoupling technique is implemented on a First Order Plus Dead Time (FOPDT) model. The PI controller is designed using Pole Placement technique. The simulation of Pole Placement technique has been adopted to study the main effect and the interaction effect of the Batch Distillation Column. The controller is designed and implemented on a Batch Distillation Column.

More »»

2018

Journal Article

C. Vinothraj, N. Kumar, P., and Isha, T. B., “Bearing fault analysis in induction motor drives using finite element method”, International Journal of Engineering and Technology(UAE), vol. 7, pp. 30-34, 2018.[Abstract]


Diagnosis of faults in induction motor is an indispensable process in industries to improve the reliability of the machine and reduce the financial loss. Among the various faults occurring in induction motors (IM), bearing fault is the predominant one which covers nearly 60% of faults. In this paper, a study of the electromagnetic field of an induction motor with bearing fault fed from both the mains and a three phase voltage source PWM inverter in open loop is carried out using Finite element method (FEM). Electromagnetic field parameters like flux lines distribution, flux density distribution and radial air gapflux density are analyzed. The presence of bearing fault can be detected from the spatial FFT spectrum of radial air gap flux density. From the FFT spectrum, it is seen that the amplitude of fundamental component of radial air gap flux density decreases and those around 100 mm distance increases with the severity of fault. © 2018 Authors.

More »»

2018

Journal Article

K. Anirudh and Chandrakala, K. R. M. Vijaya, “Dynamic contribution of DFIG based wind energy penetration in interconnected system for improved load frequency control”, International Journal of Pure and Applied Mathematics, vol. 119, pp. 625-628, 2018.[Abstract]


Frequency unbalance occurs when wind electric generators are connected with the grid since their power output depends with the wind flow and thus it reduces system inertia. Since renewable interaction in near future will be higher, it is important to control frequency even if wind electric machines are connected to the grid. This paper presents an analysis on a single area load frequency control (LFC) comprising of a thermal plant integrated with the doubly fed induction generators (DFIG). DFIG wind generators help to meet the load immediately before the action of the governor of thermal plant thus retaining the system in operating frequency level. But, to retain the system back to the normal frequency the addition of secondary controller is emphasized. Therefore, in this work for fine tuning of frequency is carried out using secondary controller namely, Proportional Integral (PI) controller. The PI controller fine tunes the frequency retaining the system back to normal frequency. The whole analysis is performed with 2% load variation and is simulated under MATLAB/SIMULINK and results are validated using performance index. © 2018 Academic Press. All rights reserved.

More »»

2018

Journal Article

M. Jayakumar, Vanitha, V., Jaisuriya, V., Karthikeyan, M., Daniel, G., and Vignesh, T., “Maximum power point tracking of a solar PV array using single stage three phase inverter”, International Journal of Engineering and Technology(UAE), vol. 7, pp. 97-100, 2018.[Abstract]


Solar power is widely available around the globe but efficient transfer of solar power to the load becomes a challenging task. There are various methods in which the power transfer can be done, the following work proposes a method for efficient tracking of solar power. MPPT [ maximum power point tracking] algorithm applied on three phase voltage source inverter connected to solar PV array with a three phase load. MPPT is applied on inverter rather than conventionally applying MPPT on DC-DC converter. Perturb and Observe method is applied in the MPPT algorithm to find the optimal modulation index for the inverter to transfer maximum power from the panel. Sine pulse width modulation technique is employed for controlling the switching pattern of the inverter. The algorithm is programmed for changing irradiation and temperature condition. The system does not oscillate about the MPP point as the algorithm set the system at MPP and does not vary till a variation in irradiation is sensed. The proposed system can be installed at all places and will reduce the cost, size and losses compared to conventional system. © 2018 Authors.

More »»

2018

Journal Article

Anjana Jain, S., S., and Dr. Vanitha V., “Power generation using Permanent Magnet Synchronous Generator (PMSG) Based Variable Speed Wind Energy Conversion System (WECS): An Overview”, Journal of Green Engineering, vol. 7, no. 4, pp. 477–504, 2018.[Abstract]


In the recent time, Permanent-Magnet Synchronous-Generator (PMSG) based variable-speedWind-Energy Conversion-Systems (WECS) has become very attractive to many researchers. The research aim is to analyse different synchronous machine and compare them based on their maximum power generation. This paper reviews various aspects of PMSG such as topologies with controlled and uncontrolled rectifier, grid-connected and standalone mode of operation with various control methods of PMSG based WECS and recent optimization approaches. The performance analysis of PMSG can be enhanced by adopting a number of control mechanisms with the benefit of advanced optimization techniques. Acomparative analysis is carried out based on the techniques used and their corresponding advantages and drawbacks are discussed.

More »»

2018

Journal Article

K. Ravisankar and Vanitha, V., “Android-based security and tracking system for school children”, Advances in Intelligent Systems and Computing, vol. 712, pp. 547-556, 2018.[Abstract]


There has been a steep rise in crime on children. As a result, safety becomes the first priority of government. In this paper, a security system for school children is implemented by tracking children and school bus, which enables parents to track their children at runtime. They will be notified when the child is going out of the school and also when child is returning home to avoid any misplacement of the child. Security system for school children is implemented by using Global Positioning System (GPS). Mobile app is developed for parents and staff members to get location of children and school bus using GPS. The mobile application also contains contact details of bus in charge and principal so that they can be contacted by parents in case of emergency. Also, by using Radio Frequency Identification (RFID) technology, parents can find out the child’s entry and exit status in the bus. © 2018, Springer Nature Singapore Pte Ltd.

More »»

2018

Journal Article

S. Selva Kumar and M. Ambika, “Modeling and Calibration of Electrical Capacitance Tomography Sensor for Medical Imaging”, Biomedical & Pharmacology Journal, vol. 11, no. 3, pp. 1471-1477, 2018.[Abstract]


Electrical Capacitance Tomography (ECT) is an imaging technique which generates a cross-sectional image representing the internal permittivity distribution based on external capacitance measurements. It possesses the advantages of being non-radioactive, non-intrusive, non-invasive, high imaging speed and low cost over the conventional imaging techniques. Inter-electrode capacitance measurements are done by exciting electrodes placed around the non-conductive dielectric medium cylinder inside which, the material to be imaged is placed. This paper emphasizes on modelling and calibrating an electrical capacitance tomography sensor using ANSYS APDL with medium as air, water and extending the procedure for normal bone and cracked bone. ECT sensor is modelled by mounting 12 electrodes symmetrically outside the cylinder. The cylinder is made up of Polyvinyl Chloride (PVC) which is non-conductive dielectric medium while the electrodes are made up of Copper (Cu) which is conductive. The electrodes are excited in pairs and the potential distribution which is based on permittivity of the medium is analysed using ANSYS and the capacitance between the electrodes were calculated. The entire electrode modelling, calibration and capacitance measurement for the simulated bone model with and without crack is presented in this paper

More »»

2018

Journal Article

R. K. Priyadharshini, Selvakumar, S., Thirunavukkarasu, I., Sheesha, C., and Bhat, V. S., “Decentralized PI control design for a pilot plant distillation system using LMI approach”, Journal of Advanced Research in Dynamical and Control Systems, vol. 10, no. 07 Special issue, pp. 896-902, 2018.[Abstract]


This article addresses a Linear Matrix Inequality based decentralized PI controller for a Distillation system. In the following, design the design of the PI Controller is transformed into a problem design of State Feedback Controller and this problem is solved and additionally by using the Convex Optimization approach. The interacting behavior of the delegation substructure of the process variables of a multivariable process, in which the change in one independent variable or manipulated variable of the process has an impact on the other constant variables or controlled variables of the following process makes the selection of a proper controller more complex. The algorithm is simulated and is further validated in a real-time environment for the identified Pilot Plant Distillation column model. © 2018, Institute of Advanced Scientific Research, Inc. All rights reserved. More »»

2018

Journal Article

S. Selva Kumar, I. Thirunavukkarasu, P. L. Santhosh Kumar, and Vinayambika S. Bhat, “Smith Predictor Based PI Controller Design for a Batch Distillation Column”, International Journal of Pure and Applied Mathematics, vol. 118, no. 22, pp. 1109-1115, 2018.[Abstract]


The article presents a design and implementation of decentralized Proportional Integral (PI) controller with decoupler based on Smith Predictor for a Batch Distillation Column. Decoupler is used to minimize the interaction combining it with decentralized control algorithm. To minimize the loop interaction between the loops, an ideal decoupling technique is implemented on a First Order Plus Dead Time (FOPDT) model. The PI controller is designed using Smith Predictor method. The simulation of Smith Predictor technique has been adopted to study the main effect and the interaction effect of the Batch Distillation Column. The controller is designed and implemented on a Batch Distillation Column.

More »»

2018

Journal Article

S. Selva Kumar, I. Thirunavukkarasu, P. L. Santhosh Kumar, and Vinayambika S. Bhat, “Experimental Validation of PI Controller based on Pole Placement for a Batch Distillation Coulmn”, International Journal of Pure and Applied Mathematics, vol. 118, pp. 413-419, 2018.[Abstract]


The article presents the decentralized Proportional Integral (PI) controller which is designed and implemented with decoupler for a Batch Distillation Process. Decoupler is used to minimize the interaction combining it with decentralized control algorithm. In order to minimize the loop interaction between the loops, an ideal decoupling technique is implemented on a First Order Plus Dead Time (FOPDT) model. The PI controller is designed using Pole Placement technique. The simulation of Pole Placement technique has been adopted to study the main effect and the interaction effect of the Batch Distillation Column. The controller is designed and implemented on a Batch Distillation Column.

More »»

2018

Journal Article

L. R.R., Swathy, S., Lakshmi, B., N. Sai, V., and V. Vijaykumar, S., “Market Clearing Mechanism Considering Congestion under Deregulated Power System”, Procedia Computer Science, vol. 143, pp. 686 - 693, 2018.[Abstract]


Deregulation in power industry involves restructuring of rules and regulations, set up by the government. The new scenario is brought into practice mainly as a result of privatization, together with the encouragement of innovation of new technology. These factors are expected to reduce the cost of electrical energy. Deregulation creates a platform called as power market where electricity is traded as a commodity. The power market can be single buyer, bilateral or poolco model. Under single buyer model, the market is cleared in a pool by conducting single sided auction among suppliers, for each time slot, for a predicted demand. Bilateral model allows suppliers and buyers to enter into contract for an amount of power during a time period. Under poolco model, the market is cleared by performing double sided auction that involves both suppliers and buyers. Once the market is cleared, market clearing price, in-merit suppliers and buyers with their allotted power, power flow through transmission line between areas are determined. However, the scheduling of power is not coordinated with transmission planning. This results in transmission congestion. One of the methods to negate congestion is to split the market at the predicted congestion bottleneck. This paper presents a real time market clearing hardware model that accepts auction data and clears the market considering transmission congestion. The proposed model uses raspberry pi board that performs market clearing based on offers and bids accepted from a created webpage. The transmission congestion is managed by splitting the market at the predicted congestion bottleneck. The effectiveness of the proposed model is tested on three area deregulated power system.

More »»

2018

Journal Article

Dr. Vijaya Chandrakala K. R. M. and Dr. Balamurugan S., “Adaptive neuro-fuzzy scheduled load frequency controller for multi source multi area system interconnected via parallel ac-dc links”, International Journal on Electrical Engineering and Informatics, vol. 10, no. 3, pp. 479-490, 2018.[Abstract]


The article focuses towards the development of an optimal secondary controller which could adapt with the varying system conditions to maintain the frequency and tie-line power flow variations within the nominal value. For the analysis, a two area multi source system consisting of thermal, hydro and nuclear system in one area is interconnected with another area comprising of thermal and hydro system via parallel AC-DC links. On subjection to unit step load change in demand, the impact on frequency and tie-line power flow variations in multi source multi area is observed under MATLAB/Simulink environment. The fine tuning of frequency and tie-line power flow variations is achieved with the help of secondary controller. Optimal secondary Proportional Integral (PI) controller is chosen based on Zeigler Nichols’ (ZN), Genetic Algorithm (GA), Fuzzy Gain Scheduling (FGS) and Adaptive Neuro-Fuzzy Inference System (ANFIS) tuning techniques. On subjection to different load variations at different intervals of time, ANFIS tuned PI controller has retained the frequency and tie-line power variations for a robust multi source multi area system interconnected via parallel AC-DC links in a much faster way to its nominal values than other methods. The performance of the controller is evaluated based on performance indices.

More »»

2018

Journal Article

R. Mahalakshm, .Deepa, K., and Dr. Sindhu Thampatty K.C., “Current Source Multi Level Inverter for Renewable Energy Integration”, Journal of Green Engineering, 2018.

2018

Journal Article

S. Reddy Ginugu, SekharKammala, R., Baburajan, H., and Dr. Sindhu Thampatty K.C., “Parameterization of MATLAB based IGBT and results validation”, Journal of Advanced Research in Dynamical and Control Systems, vol. 3, no. Special issue, pp. 965-969, 2018.

2018

Journal Article

M. Rajaram, Deepa, K., and Dr. Sindhu Thampatty K.C., “Analysis of Multi Level Current Source Inverter for Low Torque Applications”, Journal of Green Engineering, vol. 8, pp. 597-620, 2018.[Abstract]


This paper proposes a control strategy for a multi-level Current Source Inverter (CSI) which acts as an interface between renewable energy sources such as wind, solar, fuel cell etc. and grid/loads to satisfy the power demand. The control strategy aims to reduce the number of switches and the number of input sources used in the CSI and obtain an output with least Total Harmonic Distortion (THD) and increased number of levels (13). The proposed system uses seven switches and three current sources to obtain a 13 level output. The new control strategy is tested in different operating conditions in a split phase single phase low torque induction motor. The Simulation model is developed in MATLAB/Simulink. THDs of 13 level outputs from current source inverter is analyzed and compared in detail. A comparative analysis of the proposed CSI with existing CSI topologies is made. It is observed that the proposed topology uses less number of switches and inductors to obtain different levels at the output. The proposed inverter provides better performance with satisfactory results

More »»

2018

Journal Article

S. S. Kumar, R. Joseph Xavier, and Dr. Balamurugan S., “Development of ANFIS-based reference flux estimator and FGS-tuned speed controller for DTC of induction motor”, Automatika, vol. 59, pp. 11-23, 2018.[Abstract]


ABSTRACTThis paper discusses about self-regulating the reference flux in induction motor (IM) direct torque control (DTC) drive by fuzzy logic. Self-regulation is improved by using “Artificial Neural Network (ANN)” and “Adaptive Network Based Fuzzy Inference System (ANFIS)” based reference flux estimators. Furthermore, PI speed controller is investigated to develop the performance of the drive. Two different PI speed controller tuning strategies, manual and Fuzzy Gain Scheduling (FGS), are compared for load torque disturbance. The results clearly show that the modified DTC of IM with “ANFIS-based reference flux estimator and FGS-tuned PI speed controller” is most suitable for torque ripple reduction and speed control.

More »»

2017

Journal Article

Dr. Kavitha D., Sindhu, T. K., and Nambiar, T. N. P., “Impact of permittivity and concentration of filler nanoparticles on dielectric properties of polymer nanocomposites”, IET Science, Measurement and Technology, vol. 11, pp. 179-185, 2017.[Abstract]


Electrical properties of polymeric insulators can be improved by adding high-permittivity nanofillers. In this work, the aim is to analyse the effect of filler permittivity, its size, shape, concentration and the interparticle distance on the electrical properties of the nanocomposites. Nanocomposites are fabricated with four types of fillers and with various concentrations and the effect of various filler parameters on permittivity, breakdown strength and loss tangent of the nanocomposites are analysed. Simulation of electric field is used to demonstrate the increase in the volume of enhanced electric field region which affects the short-time breakdown strength. The effect of filler parameters on the electrical properties of the composite is demonstrated through experimental and theoretical analysis. © The Institution of Engineering and Technology.

More »»

2017

Journal Article

Dr. Shriram K Vasudevan, S.N., A., R.B., B., and C, M., “An innovative and intelligent earphone with auto pause facility”, Journal of Intelligent & Fuzzy Systems, vol. 32, no. 4, pp. pp. 3221-3228, 2017.[Abstract]


Life is nothing less than a hell without any entertainment in it. Thanks to mobile phones that let us entertain ourselves on the go. Mobile phones that are being launched nowadays, come with super impressive features that revolve around entertainment. Mobile manufacturers know it pretty well that entertainment has become an indispensable part of human life in the current era. This is the reason why mobile phones are nothing but a complete portable entertainment package. The main source of portable entertainment is music. A very common but irritating problem faced by the youngsters of this era is missing their favorite beat, or pausing a song frequently while conversing with someone. This seems to be negligible, but irritates most as they have to rewind the song or even restart it from beginning for the single beat. So think about a system that stops playing when the buds are taken off, and automatically continues when it is placed back. This seems to be simple but it is not so. This will change the whole experience of enjoying media, making a new mile stone in the entertainment world. This system will bring a new generation of media players that not only allows us to listen to our favorite music whenever we want but also allows automatic access without having to unlock our phones every now and then for the same. More »»

2017

Journal Article

S. Vadivelu, Ganesan, S., Murthy, O. V. R., and Dhall, A., “Thermal imaging based elderly fall detection”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10118 LNCS, pp. 541-553, 2017.[Abstract]


Elderly fall detection is very special case of human action recognition from videos and has very practical application in old age home and nursing centers. Fall detection in its simplest form is a binary classification of fall event or other daily routine activities. Hence, the current trend of sophisticated techniques being developed for human action recognition, particularly with scenarios of large number of classes may not be required in elderly fall detection. However, other design considerations such as simplicity (ready to be deployed), privacy issues (not revealing the identity) are to focused and are the major contributions of this paper. The Spatio-Temporal Interest Points (STIP) and Fisher vector framework for human action recognition is established as baseline in this work. A novel optical flow based technique is proposed that yields better performance than the baseline. Further, a very economical thermal imaging based input modality is proposed. Along with the thermal images not revealing the identity of the persons, thermal images also aid human detection from backgrounds – a useful solution in computing the optical flow of human movements. The proposed solution is also validated on the KUL Simulated Fall dataset showing its generalization capability. © Springer International Publishing AG 2017. More »»

2017

Journal Article

A. A. John, Dr. Binoy B. Nair, and Kumar, P. N., “Application of clustering techniques for video summarization - An empirical study”, Advances in Intelligent Systems and Computing, vol. 573, pp. 494-506, 2017.[Abstract]


Identification of relevant frames from a video which can then be used as a summary of the video itself, is a challenging task. An attempt has been made in this study to empirically evaluate the effectiveness of data mining techniques in video summarization. Video Summarization systems based on histogram and entropy features extracted from three different color spaces: RGB, HSV and YCBCR and clustered using K-Means, FCM, GM and SOM were empirically evaluated on fifty video datasets from the VSUMM [1] database. Results indicate that clustering based video summarizations techniques can be effectively used for generating video summaries. © Springer International Publishing AG 2017.

More »»

2017

Journal Article

Dr. Vijaya Chandrakala K. R. M., Teja, K. R., Kumar, N. S., Raghavendra, P. V. P., and Majji, L. S. Bhaskar, “Fabrication of high efficient dye sensitized solar cell using eosin blue sensitizer”, International Journal on Electrical Engineering and Informatics, vol. 9, pp. 185-194, 2017.[Abstract]


For past several decades research in the field of photovoltaic has progressed from first generation solar cell to third generation solar cell. The dominance of solid state device which converts photons to electrons is a new challenge in technologies. In this work, a high efficient Dye Sensitized Solar Cell (DSSC) is fabricated. DSSC is easy to fabricate solar cell among the conventional pn-junction photo voltaic solar cells and even it is eco-friendly. A typical DSSC suffers from semiconductor liquid junctions and therefore concerns of electrolyte volatility and breakdown persists. By optimizing the sintering time, temperature, proper choosing of different types of sensitizer/dyes and the electrolyte, improves the efficiency of DSSC. It focuses towards developing DSSC on a small scale with the glass plates as electrodes coated with Titanium Oxide (TiO2) and graphite. The plates are conducting which are coated with Fluorine doped Tin Oxide (FTO). To enhance the absorption power of the glass plates Eosin blue is chosen as a dye. These electrodes are placed in an electrolyte made up of Lithium Iodide (LiI) and Iodine (I). The electrical conduction mechanism of the fabricated DSSC is studied at 50 lux and also tested with cascaded series cell connection.

More »»

2017

Journal Article

Dr. Vijaya Chandrakala K. R. M., “Voltage source inverter based static synchronous series compensator for improved available transmission capability in a transmission line”, International Journal on Electrical Engineering and Informatics, vol. 9, no. 2, pp. 407-417, 2017.[Abstract]


This paper deals with the active power flow control in a transmission line thus improving Available Transmission Capability (ATC) using Static Synchronous Series Compensator (SSSC). For the analysis, a generator supplying two parallel transmission lines connected to a load as 2-bus system is considered. When the load increases, active power flow in the transmission lines is shared based on their limits depending on ATC which is based on power handling capacity according to the demand. Therefore, for effective control of the active power flow considering the power handling capacity, SSSC is connected in series with one of the transmission lines. SSSC controls the active power flow in transmission line by injecting voltage in quadrature to the line current. SSSC designed in this work is a Voltage Source Inverter (VSI) which provides pulses and would help to inject the required voltage in quadrature to the line current. The PWM pulses of the VSI based SSSC is generated by dsPIC microcontroller. SSSC is modeled under both MATLAB / Simulink environment and implemented on a scaled down model of 150 km, 15.6 mH transmission lines connected in between generator and load. More »»

2017

Journal Article

S. Selva Kumar, Jayapriya M, Shashank Yadava, Ram Aravind R, Sathvik S., and Lekshmi R. R., “Implementation of Fuzzy Based Frequency Stabilization Control Strategy in Raspberry Pi for a Wind Powered Microgrid”, Procedia Computer Science, vol. 115, pp. 151-158, 2017.[Abstract]


The microgrid has become an integral technology in the power systems, which eventually provide an option to integrate renewable technologies. The intermittent characteristics of these renewable energy based units are effectively utilized with the help of battery units. This paper deals with the development and implementation of a fuzzy logic based control strategy that manages the charging and discharging of battery units depending on the generation-demand mismatch and battery status in a wind powered microgrid to stabilize the frequency fluctuation. The proposed strategy is developed using Python 2.7 language and implemented in Raspberry Pi 3 development board. © 2017 The Author(s).

More »»

2017

Journal Article

Batabyal Sudip Kumar, Madhusudanan, S. P., Krishna, O. Vamsi, and Mohanta, D. Kallol, “Lead Iodide Microcrystals in Carbon Composite Matrix for Low Power Photodetectors”, Solar Energy Materials and Solar Cells, vol. 50, 2017.[Abstract]


Lead iodide (PbI2) microcrystals based photodetector were developed by a simple printing method. Carbon composite paste was fabricated by homogeneous mixing of PbI2 microcrystals, commercial graphite powder, and activated carbon. Composite carbon paste was printed on top of thermally deposited Al electrodes on the glass substrates to fabricate the photodetector. Controlled variation of PbI2 loading established that 10% PbI2 in carbon composite is the best candidate for the highest On/Off ratio. The photo generated current was manifested by the defect present in the graphite and the PbI2 microcrystals interfaces. The effect enables us to develop cost effective printing based photodetector which can work in very low voltage region for low-power printed electronics.

More »»

2017

Journal Article

, ,, and A. Suyampulingam, “Advanced Closed Loop Control of PMDC Motor Drive using Boost Converter Fed from a Photo Voltaic Panel”, Indian Journal of Science and Technology , 2017.

2017

Journal Article

S. Nidadavolu and Vanitha, V., “Enhancement of power flow in transmission system using static synchonous series compensator”, International Conference on Circuit ,Power and Computing Technologies (ICCPCT), 2017.

2017

Journal Article

M. Deepak, Vijayakumari, A., and R, M. S., “Virtual inertia control for transient active power support from DFIG based wind electric system”, RTEICT, 2017.

2017

Journal Article

and , “An Alternative Approach for Harmonic Measurements in Distribution Systems With Empirical Wavelet Transforms”, 2017.

2017

Journal Article

V. K. Sahithya, Kavitha, D., S. Balachander, and Kumar, M., “Polymer Nanocomposite Containing High Permittivity Nanoparticles for Energy Storage Application”, International Journal of Nanotechnology and Applications, vol. 11, pp. 305-318, 2017.

2017

Journal Article

S. Selva Kumar, Joseph Xavier R, and Dr. Balamurugan S., “Development of Control Schemes and Optimal Tuning of Secondary Controllers for Parallel Operation of Gas Turbine Plants”, Journal of Electrical Engineering, vol. 17, no. 4, 2017.

2016

Journal Article

Dr. Balamurugan S. and Lekshmi R. R., “Control strategy development for multi source multi area restructured system based on GENCO and TRANSCO reserve”, Elsevier - International Journal of Electrical Power & Energy Systems, vol. 75, pp. 320 - 327, 2016.[Abstract]


Abstract This paper modifies the traditional Automatic Generation Control scheme based on tie line bias control. The proposed scheme takes the GENCO reserve and TRANSCO corridor into account to permit the unscheduled power transactions. The suggested control scheme is demonstrated on a deregulated multi source multi area system. Control strategies for the deregulated system are developed to manage the contract violation for all possible combinations of GENCO reserve and TRANSCO corridor. The results obtained from the proposed scheme are found to be effective in regulating frequency and power exchange between the areas during contract violation.

More »»

2016

Journal Article

N. Kirthika and Balamurugan, S., “A new dynamic control strategy for power transmission congestion management using series compensation”, Elsevier - International Journal of Electrical Power and Energy Systems, vol. 77, pp. 271 - 279, 2016.[Abstract]


Abstract The growth of electricity market due to increase in demand and infrastructure made the power system more complex. Managing the transmission congestion is one of the main challenges faced by the utilities. To relieve from the bottlenecks, Flexible AC Transmission Systems (FACTS) and Distributed FACTS (D-FACTS) devices can be used in controlling the transmission line power flows. The real power flow control is realized by varying the transmission line impedance. The power flow in transmission line should satisfy inequality constraints to maintain the system in normal state. To achieve this, an algorithm is developed to control the FACTS/D-FACTS devices connected to all the transmission lines of n-bus system. The significant changes required in line impedance which will be deployed by FACTS devices are decided by the algorithm. In this paper, a 5 bus system and a 14 bus system with FACTS devices in all the transmission lines is considered. The transmission lines of the 5 and 14 bus systems are made to be overloaded in different combinations by choosing appropriate loading conditions. The control algorithm is tested on all the overloaded conditions to overcome the congestion. The FACTS devices controlled by the algorithm removes the overloading effect and improve the reliability of the network.

More »»

2016

Journal Article

P. Vadana, ,, and Dr. Sasi K. K., “Dynamic energy management on a hydro-powered smart microgrid”, Advances in Intelligent Systems and Computing, vol. 397, pp. 627-635, 2016.[Abstract]


Penetration of renewable energy-based microgrids onto the legacy grid is in demand to solve the global energy problems and the environmental issues. This paper attempts to employ dynamic energy management on a Grid-Connected Smart Microgrid (GCSMG) energized by a Micro Hydro Power Plant (MHPP) sans governor control. Frequency control of such SMGs poses a challenge as the latter is distributed. The concept of Dynamic Energy Management (DEM) plays a significant role in accomplishing the frequency control without perturbing the controlling facility in the conventional grid. DEM is a concept of controlling the charge-discharge transactions on the energy storage modules to oppose the frequency excursions on the grid. Support Vector Machine (SVM) algorithm is employed to automate DEM operation. The Dynamic Energy Management System (DEMS) is implemented on a Field Programmable Gate Array (FPGA) as the response time is critical for this application. The DEM scheme is validated on the SMG simulator in the Renewable Energy Laboratory of Amrita Vishwa Vidyapeetham University, Coimbatore. © Springer India 2016.

More »»

2016

Journal Article

Dr. Vijayakumari A., Devarajan, A. T., and Mohanrajan S. R., “Power angle control of a single phase grid connected photovoltaic inverter for controlled power transfer”, Advances in Intelligent Systems and Computing, vol. 397, pp. 451-461, 2016.[Abstract]


This paper focuses on the design and development of a 500 W, single phase single stage low-cost inverter for the transfer of direct current (DC) power from the solar photovoltaic (SPV) panel to the grid while meeting the standards for interconnection. The power transfer from SPV to grid is facilitated by controlling the angle between the inverter voltage and the grid voltage i.e. the power angle or phase angle (δ). Simulation of the single stage inverter for a power rating of 500 W is implemented in MATLAB/Simulink. The synchronization of the inverter with the grid was carried out by monitoring the grid frequency continuously and updating it. The power transferred to the grid is made equal to the available power by moni- toring and updating δ. A pulse-width modulation (PWM) control is implemented using PIC16F877 microcontroller for the inverter so as to deliver the available power from the solar panel to the grid, as well as, make the frequency of the output voltage of the inverter equal to the grid frequency for sustaining the synchronization.

More »»

2016

Journal Article

Dr. Vijayakumari A., Devarajan, A. T., and Devarajan, N., “Extraction of photovoltaic (PV) module’s parameters using only the cell characteristics for accurate PV modeling”, Advances in Intelligent Systems and Computing, vol. 397, pp. 265-276, 2016.[Abstract]


This paper presents a method for extraction of the model parameters pertaining to a commercially available PV module, which can be used to develop an accurate PV model that can serve as a source for simulation studies of both grid-connected and stand-alone PV systems. All the physical parameters required for the PV model are determined only from the published V-I characteristics of the module and the standard cell equation. A curve fitting based extraction technique is proposed to obtain the parameters pertaining to a particular PV module available in the market. The extracted parameters are used and a simulation model of the PV module is developed in MATLAB/Simulink. The inputs to the model are irradiance, ambient temperature, number of series and parallel modules in an array as required in an application. A 115 W commercial module S115 is taken for verification, and its physical parameters are extracted and its simulation model is developed. The characteristics of the developed model with the extracted parameters, for several G and TC are presented and compared with the published data of S115 and com- pliance confirmed. The model has been tested for sudden changes in irradiance and temperature using a maximum power point tracker. © Springer India 2016.

More »»

2016

Journal Article

Da Kavitha, Sindhu, T. Kb, and Nambiar, T. N. Pa, “Effect of nanoparticles on the dielectric strength and PD resistance of epoxy nanocomposites”, Advances in Intelligent Systems and Computing, vol. 397, pp. 277-286, 2016.[Abstract]


The dielectric strength and partial discharge resistance of epoxy material are enhanced by the addition of nanomaterial as fillers. The enhancement depends on the type of nanofiller and percentage loading. Epoxy nanocomposites with a good dispersion of nanoparticles in the base epoxy were prepared and experiments were conducted to measure the dielectric strength and partial discharge resistance with PDIV. In addition, the influence of water molecule on dielectric strength and PD resistance in base epoxy and epoxy nanocomposites were studied. This paper deals with the experimental analysis of dielectric strength and PD resistance of the nanocomposites with four types of insulating nanofillers, viz., CaCO3, TiO2, Al2O3, and layered silicate are analyzed at different filler concentration by weight. Results are given for both dry and wet (water absorbed) samples. © Springer India 2016.

More »»

2016

Journal Article

S. Anjana, Maya, P., and Panigrahi, B. K., “Fuzzy logic control of shunt active power filter for power quality improvement”, Advances in Intelligent Systems and Computing, vol. 397, pp. 975-985, 2016.[Abstract]


With the advent of semiconductor technology, the usage of nonlinear loads in the power system has increased tremendously thereby creating different power quality issues. Shunt active power filters are used to eliminate current harmonics and also for reactive power compensation, which are major power quality issues. In this paper, simulation study of fuzzy logic for shunt active filter is presented. Synchronous reference frame theory is used for current control and fuzzy logic is used for DC link voltage control. The output from current control and voltage control is used for generating switching pulses for shunt active filter using a hysteresis controller. The proposed scheme is simulated using MATLAB/SIMULINK. Results are compared with a conventional control scheme based on PI controller. © Springer India 2016.

More »»

2016

Journal Article

S. Salim and V. R. Rajesh, “Thermodynamic Analysis of Aqua-Ammonia based Miniaturized Vapour Absorption Refrigeration System utilizing Solar Thermal Energy”, International Conference on Advanced Engineering and Technology for Sustainable Development, vol. 11, 2016.[Abstract]


Solar Energy based refrigeration is one of the most promising technology to meet up the hiking demands for cooling applications. Among the two refrigeration cycles, Vapor Compression Refrigeration (VCR) driven by Photovoltaic (PV) system proves to be the most widely used cooling equipment, while the Vapor Absorption Refrigeration (VAR) driven by solar thermal energy is at its infant stages of development and is biased for usage in industrial applications. This work emphasize on the development of a miniaturized model of aqua-ammonia VAR system integrated with solar collector that can be used for small-scale cooling applications. The evaporator capacity is restricted to 0.5 ton of refrigeration (TR). The study is incorporated with theoretical design and evaluation of performance of the system in terms of Coefficient of Performance (COP). The COP estimated for the VAR system is 0.65. And the influence of evaporator temperature on COP is analyzed. © 2006-2016 Asian Research Publishing Network (ARPN). All rights reserved.

More »»

2016

Journal Article

V. R. Rajesh, Harikrishnan, K., Chaithanya, K. K., and Salim, S., “Performance Evaluation of a Solar Desalination System Integrated with a Fresnel Lens Concentrator”, International Journal of Renewable Energy Research, vol. 6, no. 1, pp. 250-253, 2016.[Abstract]


The purpose of this research work is to develop a water desalination unit that could efficiently produce potable water by evaporation and condensation; integrated with a Fresnel lens solar concentrator. The experimental setup consists of a heater tank powered with a Fresnel lens concentrator for pre-heating the water and a desalination unit. The objective of the work is to evaluate the enhancement in the performance of the system and was compared with the existing desalination unit. The study shows that Fresnel lens concentrator alone as pre-heating device can improve the yield of the desalination system up to 30.8 liters with an efficiency of 55%.

More »»

2016

Journal Article

K. Arathi and Pillai, A. S., “Low-power home embedded surveillance system using image processing techniques”, Advances in Intelligent Systems and Computing, vol. 394, pp. 377-389, 2016.[Abstract]


The need for surveillance systems are increasing due to safety and security requirements. And there exists an ample amount of challenging work yet to be explored in this domain. The current work proposes design, development and implementation of a low-power home embedded surveillance system. Such systems being operated throughout the day, consumes considerable amount of power. Power consumption being a crucial design parameter affects the utility of the system. In the proposed system to consume power, use of low-power sensor groups and controlling the activation of surveillance camera is incorporated through the M-bed microcontroller. Presence of a person is detected and face recognition is carried out using various image processing techniques.

More »»

2016

Journal Article

R. V. Arvind, Raj, R. R., Raj, R. R., and Prakash, N. K., “Industrial automation using wireless sensor networks”, Indian Journal of Science and Technology, vol. 9, 2016.[Abstract]


Background/Objectives: The advent of Wireless Sensor Networks (WSNs) have revolutionized the field of automation in many ways. This paper presents the implementation of one such WSN useful for industrial applications. Methods/Statistical Analysis: The establishment of the WSN cluster using low cost MSP430 processor and RF transceivers is explained. This network could be easily modified to suit the needs of a particular process in an industry. Findings: A basic hardware system comprising of a cluster having five nodes is tested with real time control signals. Such a network was found to be reliable, low cost and low power consuming. This cluster can be duplicated and such clusters can be integrated with the use of gateways to form a large network to monitor and control the various processes in an industry simultaneously. In the consumer end, these networks will be more user friendly and available at low cost. Applications/Improvements: The WSN clusters can be used for automation of various industries with the possibility of easy modification or expansion in the future. More »»

2016

Journal Article

V. C. Prakash, Sivraj, P., and Sasi, K. K., “Communication network of wide area measurement system for real-time data collection on smart micro grid”, Advances in Intelligent Systems and Computing, vol. 394, pp. 163-172, 2016.[Abstract]


This paper deals with communication architecture employing appropriate communication technologies for distribution side Wide Area Measurement System (WAMS). The different communication technologies like WiredLAN, WLAN, ZigBee protocol are simulated in ns2 considering a 5-bus smart micro-grid topology and the performance metrics are compared and analysed based on the standard requirements in order to suggest the apt technology. The study shows that in comparison with a homogeneous network, a heterogeneous network provides a better result considering the operational demands at different levels of the smart distribution grid architecture.

More »»

2016

Journal Article

S. S. Babu and Pillai, A. S., “Design and implementation of two-wheeled self-balancing vehicle using accelerometer and fuzzy logic”, Advances in Intelligent Systems and Computing, vol. 381, pp. 45-53, 2016.[Abstract]


Two-wheeled self-balancing vehicle commercially known as “Segway” is a promising upcoming mode of transportation in many fields viz. corporate worlds, tourist place, medical field, or for personal use. In this paper, a control strategy and sensor-based control of two-wheeled self-balancing vehicle is proposed. The concept of the stabilizing the vehicle is inspired from the inverse pendulum theory. Based on steady-state space mathematical model, the entire system control is divided into two subsystems: self-balance control system (forward or backward motion balancing) and yaw control system (left or right movement). The control strategy used is fuzzy logic and is applied to both subsystems. A prototype model of the self-balancing vehicle is developed and the proposed mathematical model and control logic are verified by testing on the developed prototype. © Springer India 2016. More »»

2016

Journal Article

Dr. Balamurugan S., Janarthanan, N., and Dr. Vijaya Chandrakala K. R. M., “Small and large signal modeling of heavy duty gas turbine plant for load frequency control”, International Journal of Electrical Power & Energy Systems, vol. 79, pp. 84 - 88, 2016.[Abstract]


In this paper, the transfer function model of heavy duty gas turbine has been developed for doing load frequency control studies. Based on the large signal model of Rowen, small signal model has been developed. This model is much suitable for doing Automatic Generation Control. Proportional integral and derivative secondary controller has been developed for both the small and large signal models to improve the system response. Ziegler Nichols’ method, Simulated Annealing and Fuzzy Gain Scheduling have been used for tuning the secondary controller. Ziegler Nichols’ method is used as conventional tuning, whereas Simulated Annealing is a search based tuning and Fuzzy Gain Scheduling is adaptive. It is found that Simulated Annealing tuned Proportional Integral Derivative Controller yields better response than other two controllers in both large signal and small signal model of heavy duty gas turbine plant. More »»

2016

Journal Article

Dr. Vijaya Chandrakala K. R. M. and Dr. Balamurugan S., “Simulated annealing based optimal frequency and terminal voltage control of multi source multi area system”, International Journal of Electrical Power & Energy Systems, vol. 78, pp. 823 - 829, 2016.[Abstract]


The article proposes optimal secondary controller for combined Load Frequency Control (LFC) and Automatic Voltage Regulation (AVR) of multi source multi area system using simulated annealing technique. When subjected to load disturbance, frequency, tie-line power and voltage fluctuations results higher oscillations. Speed governor of the system helps to match generation with the demand. But, fine tuning of frequency, tie-line power and voltage when subjected to load disturbance in multi source multi area system is achieved by secondary Proportional Integral Derivative (PID) controller. As a conventional benchmark \{PID\} controller is tuned using Zeigler Nichol’s (ZN) method and further optimized using Simulated Annealing (SA) technique. The performance of the system is validated and judged using performance indices. More »»

2016

Journal Article

A. Sreekumar and V. Pillay, R., “Hardware prototyping for enhanced resilient onboard navigation unit”, Advances in Intelligent Systems and Computing, vol. 433, pp. 501-511, 2016.[Abstract]


Dependability of safety critical system by fault tolerant design approach use redundant architecture to tolerate hardware faults. Navigation, Guidance and Control units of onboard computers in Indian satellite launch vehicles rely on hot standby dual redundancy. Effective use of computational resources is desirable in such applications where weight, size, power and volume are critical. Resource augmentation based on task criticality can achieve an increased slack margin which further is used for software and transient fault handling and improved system performance. In this paper, design and development of a hardware prototype with fault injection on an LPC 1768 ARM processor, for validating and testing the fault tolerant resource augmented scheduling of onboard computers is presented. The resource augmented system with added flexibility has been evaluated for improved performance and superior management of faults. The system provides better slack margin and resource utilization which leads for tolerating increased number of transient and software faults. © Springer India 2016.

More »»

2016

Journal Article

Dr. Sindhu M. R., “Simplified Control Algorithm for Power Quality Improvement in Industrial Applications”, International Journal of Control Theory and Applications, vol. 8, no. 5, pp. 2021 - 2028, 2016.

2016

Journal Article

Dr. Sindhu M. R. and P., K., “Multiobjective Optimal Design and Control of Auto-tuned Passive Filter using Bacterial Foraging Algorithm to improve Power Quality and to minimize Power Losses”, International Journal of Control Theory and Applications, vol. 8, no. 5, pp. 2013 - 2020, 2016.

2016

Journal Article

A. Krishna D and Dr. Sindhu M. R., “Application of Static Synchronous Series Compensator to Enhance Power Transfer Capability in IEEE Standard Transmission System”, International Journal of Control Theory and Applications, vol. 8, no. 5, pp. 2029 - 2036, 2016.

2016

Journal Article

T. Ajay and Dr. Anju Pillai S., “An Analysis of Adaptive Cruise Control System with Focus on Real-time Scheduling”, International Journal of Applied Engineering and Research, vol. 10, pp. 90-94, 2016.

2016

Journal Article

Aa Vishnupriyadharshini, Vanitha, Va, and Dr. Palanisamy T., “Wind speed forecasting based on statistical Auto Regressive Integrated Moving Average (ARIMA) method”, International Journal of Control Theory and Applications, vol. 9, pp. 7681-7690, 2016.[Abstract]


Wind power forecasting is of greater importance to increase the wind power penetration to the grid as well as to maintain the grid stability. Wind power varies with cubic times the wind speed. Thus, accurate forecasting of wind speed is a preliminary process. This paper projects the analysis of wind speed forecasting using various statistical approaches and describes Auto Regressive Integrated Moving Average (ARIMA) method based wind speed forecasting in detail. Historical time series wind speed data, with a time interval of 3 hours average, collected from Amrita Wind Energy Centre is considered for the analysis. Results show that ARIMA model forecast the wind speed with better accuracy. Consideration of multivariate data and seasonal factors are also suggested to improve the wind speed forecasting accuracy. © International Science Press.

More »»

2016

Journal Article

N. Rajan and Kumar, A. G., “A power quality survey on a 22 kV electrical distribution system of a technical institution as per standards”, Indian Journal of Science and Technology, vol. 9, 2016.[Abstract]


Objective: Electrical power delivered to a load must be of sufficient quality to allow the load to function properly. Source side voltages and currents must be distortion free and of the proper magnitudes and frequencies. Critical equipment may undergo failure if quality power is not provided. So, the electrical voltages and currents flowing through our distribution system has to be monitored and analyzed to ensure quality power and thus proper working of the machineries in a technical institute. This paper presents a Power Quality Survey in a technical institute as per Standards. Methods: A Power Quality Survey has been conducted and the measured parameters are compared against Standards. Simulation study of the complete system is conducted using ETAP 12.5.0 software, so as to understand the existing load flow and harmonic profile. Findings: Current and voltage harmonics was found to be within the limits at PCC. Improvement: Harmonic profile of UPS-Academic block improved, when the old UPS was replaced with a modern numeric UPS.

More »»

2016

Journal Article

S. L. Srinath and Dr. Anju Pillai S., “Adaptive interplay of DVS and DPM for power consumption reduction in real-time embedded processors”, Indian Journal of Science and Technology, vol. 9, 2016.[Abstract]


Objectives: Processors are computing elements of most of the embedded systems. As the technology is growing day by day, processors that are released in the market are mostly embedded processors. Processors are designed to perform concurrent operations and execution at a higher clock rate to meet the performance demands result in large heat dissipation and energy consumption. Thus there is an emphasis on power and energy consumption reduction in real time embedded processors. This work targets to reduce the processor power consumption without violating the real time constraints. Method: In this work, a dynamic power management technique named dynamic counters is employed in real-time system to minimize power consumption. The proposed method facilitates bounding of the events conservatively for effective bounding of future workload. It also employs scheduling ON and OFF time of the devices based on workload bounding at run-time. Simulation analysis is carried out to confirm the performance enhancement of the proposed method. Findings: Energy consumed by the processor increases with the number of event arrivals and switching of modes facilitates significant energy savings. Improvement: Run-time and memory overheads are overcome by dynamic counter technique. Effective bounding of future workload enhances computational efficiency.

More »»

2016

Journal Article

A. D. Krishna and Sindhu, M. R., “Application of static synchronous compensator (STATCOM) to enhance voltage profile in IEEE standard 5 bus transmission system”, Indian Journal of Science and Technology, vol. 9, 2016.[Abstract]


Background/Objectives: This paper presents implementation of Static Synchronous Compensator (STATCOM) which can control reactive power through transmission lines in an IEEE standard 5 bus system to meet constraints on bus voltage magnitude, thermal limits and power factor. Methods/Statistical Analysis: This is made possible by appropriately controlling compensation current of shunt compensator. Findings: Simulation results on performance of STATCOM are studied in MATLAB/SIMULINK and validated the effectiveness of the controller. The results show reduction in losses, improvement in power factor and improvement in bus voltage profile are obtained with STATCOM. Application/Improvements: Power flow through the transmission line had improved from 0.014 p.u. to 0.154 p.u.

More »»

2016

Journal Article

M. P. Pranitha and Dr. Vijaya Chandrakala K. R. M., “Optimal capacitor placement based improved reliability assessment of a distribution system”, Indian Journal of Science and Technology, vol. 9, 2016.[Abstract]


This paper focuses to reduce the real power losses in a real-time radial distribution system by performing Optimal Capacitor Placement (OCP) using Genetic Algorithm (GA), thereby enhancing the reliability of the entire system. Reliability analysis on Amrita power house II, Amrita University, Ettimadai campus, Coimbatore operating at 22kV/415V system is carried out using ETAP software. System status subjected to different failures as ca se studies are considered. System performance is analyzed using Adaptive Newton Raphson method. Suggestions for suitable placement of capacitor banks with optimal size and cost is proposed by performing OCP using GA. Comparison of the results of reliability analysis is done with and without capacitor placement. Optimal capacitor placement helps in achieving optimal cost with suitable size and location of the capacitor bank, which is evident from the report obtained from the ETAP software. Out of load bus and breaker failure condition, the predominant remark was the considerable increase in real power loss of the overall system. Thus, the optimal capacitor placement found to be the most suitable solution for reduction of real power losses in a radial distribution system. Results of analysis illustrates that the increased value of sustained interruption system indices like System Average Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI) and preferably Customer Average Interruption Duration Index (CAIDI) indicates that the system is highly unreliable without capacitors. The results obtained after capacitor placement indicates reduction in real power losses and thus decrease of reliability indices value. The expected energy that is not getting supplied to the consumer can be estimated and the cost incurred for loss can be reduced with the reliability assessment. Thus long and short term planning could be carried out. Improvements can be done by including more system reliability assessment indices. Total cost incurred due to unreliable condition of the system can be found out. This work would allow further extension by introducing FACTS devices for reliability enhancement.

More »»

2016

Journal Article

L. R Priya, Subi, S., Vaishnu, B., and Dr. Vijaya Chandrakala K. R. M., “Study on Characterization of River Sand as Heat Storage Medium”, Indian Journal of Science and Technology, vol. 9, 2016.[Abstract]


The article focuses towards the study and characterization of the river sand suitability for high temperature thermal energy storage. The study is carried out preferably on the specific heat capacity of the river sand. A river sand sample from the banks of cauvery having the smallest grain size has been chosen. The sample undergoes the tests namely; Thermal Gravimetric Analysis (TGA), Fourier Transform Infrared Analysis (FTIR) and Differential Scanning Calorimeter (DSC). Detailed analysis is carried out to observe the sample’s change in weight when subjected to heating. FTIR analyzes the chemical groups present in the sample and DSC helps to identify its specific heat capacity which could justify the effect of thermal storage. TGA analysis showcased 1.013% of change in the sample weight during the first cycle of heating. However, during further heating cycle’s negligible change in weight is observed. Therefore, same sample could be used for several heating cycles without the need for replacement. The reason behind the weight loss was later examined by FTIR analysis. It is observed that the carbonate compound present in the sample was missing after heating. This test justifies the absence of carbonate compound presence after the heating process. The specific heat capacity of sand was found to be 1041 J/Kg/K by DSC analysis. The observed value of specific heat capacity of sand shows its superiority over the conventionally used high temperature thermal storage medium mainly molten salt and synthetic oils. The observation shows the heated sample with agglomeration due to the presence of other impurities and a considerable color change was observed. River sand is tested for its thermal characteristics and studied for the first time to the best of knowledge which the researchers are still at the finding stage. The specific heat capacity observed in the river sand makes its suitable for high temperature thermal energy storage in Concentrated Solar Power Plants (CSP).

More »»

2016

Journal Article

A. Paul and Prabu, T., “Technical and Economic Feasibility Study on Repowering of Wind Farms”, Indian Journal of Science and Technology, vol. 9, 2016.[Abstract]


Objective: The main objective of the paper is to perform a repowering assessmentof an old wind farm consisting of 2 bladed turbines located at Gudimangalam near Coimbatore in Tamil Nadu which is a good wind potential site. Methods/Statistical Analysis: Repowering refers to the replacement of first generation small capacity wind turbines with modern multi megawatt wind turbines that can produce more energy than before from the same site. Technical analysis of the site is done using WAsP software with the help of wind data collected from a met mast at the site and includes the calculation of Net Annual Energy Production and Wake losses. Net Annual Energy Production and Wake losses are the primary indicators for selecting the best options for repowering. The option selected is further supported by calculating the economic performance indices. The total repowering has been accomplished through partial repowering executed in three stages. Partial repowering refers to the replacement of only few of the turbines from the existing wind farm rather than replacing the whole farm. The economic feasibility of every repowering option has been studied based on the calculation of the economic performance indices like ALCoG, Payback Period and IRR. Findings: The study mainly results in framing a procedure for performing total repowering for any site through the optimization of best possible partial repowering options. The existing site comprises 18 turbines of 450 kW rating and is having a net AEP of 14.5 GWh with a wake loss of 3.82%. The Plant Load Factor (PLF) is obtained to be 20.44%. The best possible total repowering option is found to be producing a net AEP of 65.287 GWh with a wake loss of 2.36% and included 9 Suzlon S95 2.1 MW turbine which is four times the AEP of the existing farm. The three stages of partial repowering included replacement of 6 old turbines by 3 new turbines in each stage. Finally the total repowering is reached through the execution of partial repowering options in three stages and it results in close proximity to the best possible total repowering option in both technical and economic aspects. The final repowering eventually attained results in a net AEP of 65.28 GWh with a wake loss of 2.36% which is the exact match of the best possible total repowering option found in the beginning. The total repowering also leads to an improvement in PLF i.e. almost doubles the PLF to 39.42%. Application/Improvements: This procedure can be very useful where the initial investment is an important factor. The study infers that performing total repowering through optimization process is more beneficial than performing partial repowering randomly.

More »»

2016

Journal Article

P. Anusri and Dr. Sindhu Thampatty K.C., “Mathematical modeling of the squirrel cage induction generator based wind farm for sub-synchronous resonance analysis”, Indian Journal of Science and Technology, vol. 9, 2016.[Abstract]


Background/Objectives: To analyze the SSR phenomenon in a Squirrel Cage Induction Generator based Wind farm connected to series compensated transmission line at varying operating conditions. Methods/Statistical Analysis: There is a remarkable rise in the renewable energy sector in the current energy demand scenario, but their grid integration leads to various power system stability issues. In the case of wind power, wind farms being located far away from the grid, the integration of large scale wind farms to the utility grid requires high transmission line capacity to transport huge amount of wind power. In order to provide the power transfer capability and to improve the system stability, series compensation is the effective solution. But the series compensation may cause SSR oscillations in the system. Eigen value analysis is the method chosen to perform the Small Signal Stability analysis which examines the potential of SSR in the study system. Findings: The study investigates on the application of series capacitor for series compensation which is required during the grid integration. Series compensation of transmission line causes electro-mechanical oscillations at a sub-synchronous frequency which may finally result in serious damages in the system such as shaft failure. In order to perform the Eigen value analysis, detailed mathematical modeling of the system is developed. The pitch angle control is not taken into account while developing the system, whereas the strength of the transmission line is considered. The interconnection of three sub systems provides the complete model of the study system. The identification of system modes and damping of torsional and network modes are analyzed for various wind speed levels, various series compensation levels and various grid impedance levels. It has been observed that different grid impedance levels have a significant effect on the torsional mode oscillations of the system. Application/Improvements: As the overall system model is linearised, optimal control techniques can be developed as an application to mitigate the SSR oscillations and thereby improve the system stability.

More »»

2016

Journal Article

R. Goecke and Dr. Oruganti Venkata Ramana Murthy, “Dimensionality reduction of Fisher vectors for human action recognition”, IET Computer Vision, vol. 10, pp. 392-397(5), 2016.[Abstract]


Automatic analysis of human behaviour in large collections of videos is rapidly gaining interest, even more so with the advent of file sharing sites such as YouTube. From one perspective, it can be observed that the size of feature vectors used for human action recognition from videos has been increasing enormously in the last five years, in the order of ∼100–500K. One possible reason might be the growing number of action classes/videos and hence the requirement of discriminating features (that usually end up to be higher-dimensional for larger databases). In this study, the authors review and investigate feature projection as a means to reduce the dimensions of the high-dimensional feature vectors and show their effectiveness in terms of performance. They hypothesise that dimensionality reduction techniques often unearth latent structures in the feature space and are effective in applications such as the fusion of high-dimensional features of different types; and action recognition in untrimmed videos. They conduct all the authors’ experiments using a Bag-of-Words framework for consistency and results are presented on large class benchmark databases such as the HMDB51 and UCF101 datasets. More »»

2016

Journal Article

Krishna Prakash N. and Surjith, B., “Wireless sensor network based remote monitoring system in smart grids”, International Journal of Control Theory and Applications, vol. 9, pp. 6639-6646, 2016.[Abstract]


In order to improve the efficiency and safety of the grid, monitoring and automating the system became mandatory. In Indian grids, the line parameters are not monitored continuously which results in conditions such as blackouts, overloading of the power system elements, such conditions can be avoided by timely monitoring the parameters and taking necessary actions to avert the future intolerable conditions on the line. This paper proposes an architecture for monitoring smart grid using wireless sensor network (WSN) technology. A miniature smart grid prototype and sensing module is designed and implemented to collect the line parameters like current, voltage and frequency. Using WSN technology, the collected parameters are communicated to a central monitoring unit at periodic intervals.

More »»

2016

Journal Article

N. V. S. K. Avinash, Avinash, M., Bharath, B., Y. Teja, B. Sai, and Vidya, V., “Direct torque control of induction motor-a comparison”, International Journal of Control Theory and Applications, vol. 9, pp. 7547-7556, 2016.[Abstract]


This paper presents the model of direct torque and flux control of an induction motor drive (IMD) with PI replaced by Fuzzy logic controller (FLC). Direct torque control (DTC) of an induction motor drive is an excellent method to control the flux and torque of an induction motor to settle at a zone. But the major drawback of the DTC is that the torque ripple is high. The major area of research under DTC is to reduce the ripple of torque using various methods such as using 12 sectors, using fuzzy controller, using Artificial neural networks algorithm, using genetic algorithm, etc.. In this paper a fuzzy logic model is proposed that had replaced PI where fuzzy completely focuses on reducing the ripple in torque. Here both such models (classical as well as fuzzy) models are simulated using MATLAB/SIMULINK and the results are compared. The proposed technique had shown better results than compared to the classical model.

More »»

2016

Journal Article

V. Saisudha, Seeja, G., V. Pillay, R., Manikutty, G., and Rao R. Bhavani, “Analysis of speed control of DC motor using LQR method”, International Journal of Control Theory and Applications, vol. 9, pp. 7377-7385, 2016.[Abstract]


DC motors are widely used in various industries because they cater to applications of high and low power and in both fixed and variable speed electric drives. This paper analyses the transient parameters of the speed of separately excited DC motors using the Linear Quadratic Regulator (LQR) method. The speed of the DC motor is analyzed by measuring the output. The LQR method has been applied on three different motors of different specifications. The speed of the three motors is compared on the basis of the transient specifications using the LQR method. Simulation of a motor in MATLAB has shown that the performance of a motor with a low power application has a significant and improved quality response with the LQR method. Properties such as minimized deviation in speed, easy design and cost reduction make it efficient for use in controlled and balanced systems. These properties enhance speed control of a DC motor by achieving the desired performance for the systems where different power ratings occur.

More »»

2016

Journal Article

K. A. Lakshmypriya and Dr. K. Deepa, “100 kHz high voltage power supply for travelling wave tube”, International Journal of Control Theory and Applications, vol. 9, pp. 7187-7195, 2016.[Abstract]


Travelling Wave Tube (TWT) is a high gain microwave amplifier used in RADAR transmitters. TWTs require a highly sophisticated high voltage power supply for powering its electrodes viz., cathode and collectors. The high voltage power supply should have low output ripple and good regulation(few hundreds of millivolts) on cathode to obtain good RF performance and the power supply needs to be short circuit protected. This paper presents the high voltage power supply designed for a TWT based radar transmitter with electrode voltages of -9kV, -4.4kV and - 6.2kVDC. Input voltage of the high voltage power supply (HVPS) is 65VDC. The high voltage output is achieved with a series resonant converter operating at a high frequency of 100 kHz. The inverter output is stepped up by a high voltage high frequency transformer. The transformer output after rectification is filtered and fed to TWT. The output voltage is regulated using phase shift control. This work is further extended in the implementation of the designed high voltage power supply in hardware.

More »»

2016

Journal Article

A. G. Nath, Kaushik, S., Pillai, N. K., Prasad, S., and Kathiravan, N., “Energy efficient solar LED lighting system with real time intensity control”, International Journal of Control Theory and Applications, vol. 9, pp. 7571-7579, 2016.[Abstract]


As years go by, the population increases, correspondingly increasing the energy demand. Given this scenario, it is essential to implement energy efficient technology to meet our energy requirements. Along this line of thought, came about the idea of solar powered LED street lighting system. It is evident from the title, the system is powered by a solar panel. LED lamps have very low energy consumption and high efficiency, thus are used as the lighting source. The output from the solar panel is fed to a charge controller which feeds a lead acid battery. The battery has a monitor circuit to show its current status of available charge. The voltage supplied by the battery needs to be reduced to a value suited to light up an LED array. For this purpose a buck converter is used. In order to complement the energy efficient nature of the system, a dimmer circuit is introduced. This circuit is used to adjust the brightness of the LED array in accordance with the surrounding brightness in real time. This is achieved via PWM technique. PWM pulses are sent to the switch of the buck converter. Based on the width of the pulse received, the buck converter supplies a certain amount of output voltage to the LED array. Thus on varying the width of the pulse supplied, the voltage supplied to the LED array and in turn it's brightness can be controlled, according to the existing brightness outside.

More »»

2016

Journal Article

R. Shanmughasundaram, Nambiar, T. N. Padmanabha, and Supriya, P., “Development of fuzzy logic based ignition control using microcontroller”, International Journal of Control Theory and Applications, vol. 9, pp. 6151-6156, 2016.[Abstract]


The application of soft computing techniques for spark ignition (SI) engines improves the performance of the system. This paper presents the development of fuzzy logic based ignition control system for a single cylinder SI engine. The fuzzy logic controller (FLC) was designed and developed in Matlab. The inputs to the FLC are engine speed and throttle position and the output is spark angle value. The spark angle value obtained from the Matlab simulation for different engine speeds and throttle position conditions is found to be satisfactory. To validate the simulation results, the FLC is implemented in a microcontroller with ARM7TDMI core. It has been observed that the hardware results match the simulation results. As the control system is programmable, it could be used to enhance the performance of different engines.

More »»

2016

Journal Article

V. Praveen and Dr. Anju Pillai S., “Modeling and simulation of quadcopter using PID controller”, International Journal of Control Theory and Applications, vol. 9, pp. 7151-7158, 2016.[Abstract]


Quadcopter also called as quadrotor helicopter, is popular in Unmanned Aerial Vehicles (UAV). They are widely used for variety of applications due to its small size and high stability. In this paper design and development of remote controlled quadcopter using PID (Proportional Integral Derivtive) controller implemented with Ardupilot Mega board is presented. The system consists of IMU (Inertial Measurement Unit) which consists of accelerometer and gyro sensors to determine the system orientation and speed control of four BLDC motors to enable the quadcopter fly in six directions. Simulations analysis of quadcopter is carried out using MATLAB Simulink. Pitch, roll and yaw responses of quadcopter is obtained and PID controller is used to stabilize the system response. Finally the prototype of quadcopter is build PID logic is embedded on it. The working and performance of quadcopter is tested and desired outputs were obtained.

More »»

2016

Journal Article

B. P, B, D. Isha T., and Praveenkumar, N., “Two stage on-board battery charger for plug -in electric vehicle applications”, International Journal of Control Theory and Applications, vol. 9, 2016.

2016

Journal Article

R. Manigandan and Dr. Anju Pillai S., “Critical Section aware Immediate Ceiling Priority Protocol with Dynamic Frequency Scaling”, Indian Journal of Science and Technology, vol. 9, 2016.

2016

Journal Article

S. Selva Kumar, R. Joseph Xavier, and Dr. Balamurugan S., “Fuzzy Gain Scheduling for Load Frequency Control of Single Area Multi Source Hydro-Thermal-Gas Turbine System”, Australian Journal of Basic and Applied Sciences, vol. 10, no. 5, pp. 137-143, 2016.[Abstract]


It is necessary to operate the power system in interconnected mode with the development of renewable and non-renewable energy sources and increase in load demand. Bio fueled gas turbine plants as a form of renewable source can be operated along with other sources of generation but have to be properly connected and controlled to provide better performance when sharing a common load. This paper deals with load frequency control of single area multi source system consisting of hydro, thermal and gas turbine. When subjected to load change, the speed governor helps in controlling the frequency to its nominal value but secondary controller is required for fine tuning of frequency. Proportional integral (PI) controller is used in this work. Ziegler Nichols’ (ZN), Genetic Algorithm (GA) and Fuzzy Gain Scheduling (FGS) methods have been used for optimal tuning of secondary controller. FGS tuned secondary controller found to yield better performance.

More »»

2016

Journal Article

K. K. Chaithanya, V. R. Rajesh, and Suresh, R., “Experimental Analysis of Desalination Unit Coupled with Solar Water Lens Concentrator”, IOP Conference Series: Materials Science and Engineering, vol. 149, p. 012182, 2016.[Abstract]


The main problem that the world faces in this scenario is shortage of potable water. Hence this research work rivets to increase the yield of desalination system in an economical way. The integration of solar concentrator and desalination unit can project the desired yield, but the commercially available concentrated solar power technologies (CSP) are not economically viable. So this study proposes a novel method to concentrate ample amount of solar radiation in a cost effective way. Water acting as lens is a highlighted technology initiated in this work, which can be a substitute for CSP systems. And water lens can accelerate the desalination process so as to increase the yield economically. The solar irradiance passing through the water will be concentrated at a focal point, and the concentration depends on curvature of water lens. The experimental analysis of water lens makes use of transparent thin sheet, supported on a metallic structure. The Plano convex shape of water lens is developed by varying the volume of water that is being poured on the transparent thin sheet. From the experimental analysis it is inferred that, as the curvature of water lens increases, solar irradiance can be focused more accurately on to the focus and a higher water temperature is obtained inside the solar still.

More »»

2016

Journal Article

S. Selva Kumar, Vignesh Venkiteswaran, and R. Udhayaraj, “Development of Optimal Controller for Large Signal and Small Signal Model of Gas Turbine Plant using Particle Swarm Optimisation”, International Journal of Control Theory and Applications , vol. 9, no. 16, pp. 8245- 8255, 2016.

2016

Journal Article

Lekshmi R. R., B., S., C. Sujith, V. Sreya, and , “Integrating ARM Based Controller for a Single Area Deregulated LFC Modeled in LabVIEW”, Middle-East Journal of Scientific Research, vol. 24, pp. 566– 572, 2016.[Abstract]


Deregulation in power system results in separate entities like generating company, distribution company, transmission company and independent system operator. The reliability and stability of the system is the responsibility of the independent system operator that provides many ancillary services, one of which is load frequency control. In a deregulated power system, the GENCOs generate to meet the contracted demand of the distribution companies via load frequency control. This paper presents a hardware development of control strategy and its integration with the single area deregulated load frequency control model in LabVIEW. The transfer function model of the deregulated single area system is modeled in LABVIEW. The secondary controller (Integral controller), responsible for maintaining the frequency at nominal value is developed in ARM processor and is interfaced with LABVIEW. The proposed system is tested for the effectiveness of the developed controller during contracted condition and demand violation.

More »»

2016

Journal Article

G. A.S and Dr. Sindhu Thampatty K.C., “Design And Implementation Of Series Connected FACTS Devices For Enhancing Powersystem Oscillation Damping”, International Journal of Advanced Information in Engineering Technology (IJAIET), vol. 3, 2016.[Abstract]


This paper presents a way to increase power transfer capability of the system and improve power oscillation damping by series connected two FACTS devices, Thyristor Controlled Series Capacitor (TCSC) and a Thyristor Controlled Phase Angle Regulator (TCPAR). This paper also describes a practical implementation and analysis of proposed system in laboratory.

More »»

2016

Journal Article

C. K. K., A., V., and Dr. Vijaya Chandrakala K. R. M., “The Impact of Salt Concentration on Thermal Energy Storage in Solar Pond”, Australian Journal of Basic and Applied Sciences, vol. 10, no. 5, pp. 156-160, 2016.[Abstract]


This paper emphasize the effect of salt concentration on thermal energy storage in terms of temperature rise. Increase in temperature at different layers of the solar pond has direct indication on the effect of salt concentration. On experimental set up of solar pond with the salt concentration varied in the range of 160-250g by adding the water stored in the pond is analyzed. The temperature measured at different concentration of salt helps to extract sensible heat which could as energy storage. The analysis is carried out to determine the characteristics of different layers in the solar pond by varying salt concentration. Temperature Vs time behavior of the solar pond on varying concentration of salt is verified experimentally by plotting its characteristics.

More »»

2016

Journal Article

D. Raj, Bhoopathi, A., and Dr. Vijaya Chandrakala K. R. M., “Effect of Salt Gradient Pond for Thermal Energy Storage”, Australian Journal of Basic and Applied Sciences, vol. 10, no. 5, pp. 150-155, 2016.[Abstract]


The effect of two main parameters in a solar pond are top layer area and bottom layer thickness. These parameters are considered and studied under experimental setup of salt gradient pond and its significant role in thermal energy storage. Two vessels of different radius are used, in order to understand the effect of different top layer area. As the area of the top layer and the thickness of the bottom layer in a pond increases, the stored energy is also found increasing.

More »»

2015

Journal Article

R. Mahalakshmi, Manjunath, H. V., and Thampatty, K. C. S., “Design and implementation of quadratic buck-boost converter for PV array”, International Journal of Applied Engineering Research, vol. 10, pp. 1023-1034, 2015.[Abstract]


<p>Due to increase in electric energy demand, energy extraction from solar and wind are much concentrated in power electronic systems. There is a wide variation in the output of solar array and it needs efficient DC-DC converter. This paper discusses about the design and implementation of closed loop control of Quadratic buck boost converter for the variable DC input voltage whose voltage ratio is -D2/(1-D)2.This converter uses a single switch to control output voltage unlike cascaded buck and buck boost converters. Cascaded conventional converter uses two switches for the same voltage ratio of -D2/(1-D)2. They also suffer from duty cycle and switching frequency limitations during wide input voltage variations. These problems can be reduced with the help of quadratic converter. In this paper quadratic closed loop control of buck boost converter is proposed for the variable solar panel output. Simulation of the circuit is done using MATLAB simulink and hardware implementation results are discussed. © Research India Publications.</p>

More »»

2015

Journal Article

S. Selva Kumar, Dr. Balamurugan S., and Joseph Xavier R, “Genetic Algorithm Tuned Load Frequency Control of Multi Source Multi Area Hydro Thermal Gas Turbine System”, International Journal of Applied Engineering Research, vol. 10, no. 55, pp. 3193-3197, 2015.[Abstract]


Multi source systems involve combined operation of two or more generating units with renewable or non-renewable sources. Multi area system is the integrated operation of different groups of multisource units sharing local electric loads between them. These systems will be the future of power systems extended to remote consumers for grid connected operation and control. A gas turbine plant operated with bio mass fuel will be one such renewable source that can be interconnected to other sources like hydro and thermal for sharing a common load. This paper deals with the load frequency control of these multisource multi area systems operating under tie-line bias control strategy. A set of suitable secondary controllers are tuned for the better performance. It compares the performance of classic Ziegler Nichols (ZN) tuned controller with the Genetic Algorithm (GA) tuned secondary controller. GA provides a better controller for the interconnected operation of the thermal, hydro and gas turbine plants. © Research India Publications.

More »»

2015

Journal Article

U. V., N., J., Dr. Balamurugan S., and Dr. Vijaya Chandrakala K. R. M., “Stability Enhancement of a Synchronous Generator Connected to an Infinite Bus Bar Using SSSC”, International Journal of Applied Engineering Research, vol. 10, no. 55, pp. 3590-3595, 2015.[Abstract]


This paper proposes an algorithm for improving the transient stability of a synchronous generator connected to infinite busbar during fault condition using Static Synchronous Series Compensator (SSSC). Here a 6-pulse bidirectional converter with sine PWM is used to inject a voltage in quadrature lagging with line current. The developed control strategy uses dq0 transformation for regulating the line current during fault for enhancing the stability. The complete simulation of the system is performed in the MATLAB/Simulink environment. Simulation results show that the transient stability of synchronous generator is improved using SSSC.

More »»

2015

Journal Article

A. V.S., K.R.M., V. Chandrakal, Dr. Balamurugan S., and N., J., “Simulated Annealing Based Optimal Control of Multi Source Multi Area Hydro Thermal Gas Turbine System”, International Journal of Applied Engineering Research, vol. 10, no. 55, pp. 3165-3170, 2015.

2015

Journal Article

S. Kumar S. and Dr. Balamurugan S., “Sensor less Direct Torque Controlled Induction Motor Drive with Torque, Flux and Speed Ripple Minimization”, International Journal of Applied Engineering Research, vol. 10, no. 55, pp. 3547-3551, 2015.[Abstract]


In this paper, self-regulation of stator flux in Direct Torque Control (DTC) of Induction Motor Drive is achieved. Direct torque control is based on torque, flux hysteresis controllers and the stator flux angle. Based on hysteresis controllers and stator flux angle a look up table is constructed. In DTC Stator flux is divided as six sectors. Due to look up table uneven voltage vectors are distributed to control the stator flux and torque in a DTC induction machine. The stator flux magnitude droops at every switching sector transition, particularly when the machine is running at low speed with a heavy load. To overcome this sectors are slightly wavered for some angle. The performance of the controllers are investigated for load torque disturbance using Performance Indices ISE, ITAE and ITSE. The results clearly shows sector oscillation improves the performance to further reduce the torque ripple saw tooth sector wavering is used. © Research India Publications.

More »»

2015

Journal Article

R. Abhilash, Adithya, K., O Kumar, K., Balaji, T. J., Dr. Vijaya Chandrakala K. R. M., and Dr. Balamurugan S., “PLC-SCADA Based Supply Side Management in Deregulated Power Market”, WSEAS Transactions on Power Systems, vol. 10, pp. 97-104, 2015.[Abstract]


The deregulation of power industry is restructuring of rules of monopoly, hence bringing in more private players to sell or buy the electricity as a commodity. The power and price values are bid by the respective generation companies (GENCO’s) and distribution companies (DISCOM’s) through the electronic mode. There are various complex computing methods for determining the optimum price among which the power exchange curve method is discussed herewith. By plotting demand and supplier power characteristics curves, the intersection point, MCP (Market clearing price) can be determined. MCP calculation is one of the most important functions of a power pool operator. Its main objective is to maximize the Global welfare function where the generating companies and the consumers are benefited and unbiased. The MCP is calculated using MATLAB software and the winning bidders of the current market are found. The power obtained for the winning supplier then undergoes optimum scheduling for generation optimization namely, supply side management. The power optimization includes Unit Commitment (UC) and selected units to be committed undergo Economic Load Dispatch (ELD). For practical implacability, the supply side power management is implemented using Programmable Logic Controller (PLC) communicated through the Supervisory Control and Data Acquisition (SCADA) system.

More »»

2015

Journal Article

V. S. Kirthika Devi and Iyengar, S. G. Srivani, “A new PWM technique for symmetric and asymmetric seven level multilevel inverter topology with reduced number of DC sources”, International Journal of Applied Engineering Research, vol. 10, pp. 22299-22311, 2015.[Abstract]


The Multilevel inverters are the predominating one among the emerging trends in the field of power electronics. This can be applied in many applications especially on the power quality. The topology that has been proposed in this paper presents a seven level H-Bridge inverter with a new PWM control strategies for both symmetric and asymmetric and their comparison is shown. The proposed inverter topology has two sets of units. One is cascaded H bridge section which has three sub multilevel inverters which are connected serially with H bridge multilevel inverter section. It produces the desired stepped output waveform from three DC sources. This paper mainly focuses on the Total harmonic distortion, efficiency improvement of the multilevel inverter and quality of output voltage waveform. This topology has been implemented with only seven switches to obtain seven level. Fundamental switching scheme and New PWM technique is implemented to reduce the total harmonic distortion (THD). The proposed topology is suitable for N number of levels. The proposed performance of the PWM strategy in terms of output voltage and THD is shown using MATLAP/Simulink © Research India Publications.

More »»

2015

Journal Article

R. M. Raphael, Sasikumar, S. V., Mavilakandy, V. M., Menon, V. S., and Kumar, P., “Human detecting and location mapping robot using PIR sensor and velocity motion model”, International Journal of Applied Engineering Research, vol. 10, pp. 26115-26126, 2015.[Abstract]


This paper proposes a novel method to rescue humans trapped after an earthquake. It revolves around constructing an autonomous robot that can navigate and map the destroyed terrain and also locate any humans that are alive in that terrain. The navigation of the robot is done with the help of the on-board ultra-sonic sensor and is localized using Velocity Motion Model [1]. The trapped humans are located through an on-board PIR sensor. The ultra-sonic sensors and the PIR sensors are connected to the Arduino UNO board and are interfaced with a Raspberry Pi b+[2] micro controller through serial USBcommunication. The algorithm for navigation of the robot and mapping the unknown terrain is done using Velocity Motion Model, which will be run in the Raspberry Pi after the robot has finished moving through the terrain. On the whole, this paper illustrates how robotics can be used for humanitarian purposes and also provides a cheap alternative to the traditional means of human body detection. © Research India Publications.

More »»

2015

Journal Article

Aa Rajiv, Nathan, Va, Ashwanth, Aa, Rajan, Sa, and Dr. Sindhu Thampatty K.C., “Modelling and analysis of rotor bearing fault in a three phase squirrel cage induction motor using ANSYS® Maxwell 2D”, International Journal of Applied Engineering Research, vol. 10, pp. 3612-3616, 2015.[Abstract]


Industries of all kinds use electrical machines and they also form the integral part of any engineering system. Induction motors are widely used in industrial and domestic applications. There are various faults that occur in an induction motor, like stator inter-turn fault, bearing fault and eccentricity fault. Out of these faults, the rotor bearing fault is very specific in squirrel cage induction machines. This paper presents the design and modelling of a three phase squirrel cage induction motor using the CAD package called “ANSYS® Maxwell 2D” and its analysis under two states of operation: healthy mode of operation and motor operation under the presence of a bearing fault. © Research India Publications.

More »»

2015

Journal Article

P. Maya, Dhivya, N., Kartikga, C., and Dr. Soman K. P., “Discrimination between inrush and internal fault currents in a power transformer using Variational Mode Decomposition Method”, International Journal of Applied Engineering Research, vol. 10, no. 55, pp. 3298-3301, 2015.[Abstract]


Transformers, which are critical and expensive components of a power system, require suitable measures for their protection to ensure reliable operation. Identification between in rush current and internal fault current is important in the design of transformer protection relay. Often nuisance tripping of protection relay occurs when inrush current flows in the system. Identification methods based on higher second harmonic content present in inrush current has limitations in its application. This work investigates the scope of classification method based on Variation Mode Decomposition (VMD) and Support Vector Machine (SVM) in distinguishing internal fault current and inrush current in a power transformer. Validation of this method is done using synthetic data from MATLAB/SIMULINK. Choice of various kernel functions for SVM for better accuracy is also investigated. © Research India Publications. More »»

2015

Journal Article

V. P. Sidharthan, A., S. Lingam, and K. Vijith, “Brushless DC motor driven plug in electric vehicle”, International Journal of Applied Engineering Research, vol. 10, pp. 3420-3424, 2015.[Abstract]


Global warming and noise pollution are serious ailments plaguing today's world. This paper deals with the electric scooter in which a Brushless DC(BLDC) motor is incorporated at the rear wheel of the scooter. The controlling of BLDC motor is done by a Motor Control Unit(MCU) in which the motor rotates based on current commutation. With the hall sensor outputs at each position of rotor there will be a switching scheme of six different states. Start stop and speed control of vehicle are controlled by the MCU. A 60V,1000W BLDC Motor is selected to drive the vehicle. The mathematical modelling of BLDC motor is implemented in matlab simulink. Also the closed loop speed control of BLDC motor is done in matlab. Hardware control of motor is done using Arduino uno development board in which Atmega 328 microcontroller is embedded. Corresponding pulses are obtained to drive each switch at different commutation states. © Research India Publications.

More »»

2015

Journal Article

J. Anand, Balakrishnan P., and Dr. Isha T. B., “Simulation of torque ripple minimization in switched reluctance motor”, International Journal of Applied Engineering Research, vol. 10, pp. 3548-3553, 2015.[Abstract]


Though rugged and simple construction makes Switched reluctance motor (SRM) a potential candidate for many industrial applications, the presence of higher torque ripple is poses a limitation to its wide spread use. This paper presents a torque ripple reduction method by using a hysteresis torque and current controller. The reference torque is derived from a speed controller and the reference current is derived from the torque controller. Since the torque is proportional to the square of the current, a substantial reduction of torque ripple is seen when the current is controlled. Simulation is done in MATLAB/Simulink platform with each controller separately and finally all the three controllers put together. © Research India Publications.

More »»

2015

Journal Article

K. Thiruvalluvan, Harisudan, B., Varun, K. S., Uniyal, S., and Janarthanan N., “Variation in reactance of TCSC with change in triggering angle in MATLAB”, International Journal of Applied Engineering Research, vol. 10, pp. 1095-1097, 2015.[Abstract]


The concept of Flexible AC Transmission System (FACTS) is made possible by the application of high power electronic devices for power flow control in transmission line. Thyristor Controlled Series Compensator (TCSC) controls the power flow in transmission lines by varying the impedance of TCSC by controlling the delay angle of thyristors. This paper presents a conceptual study on the working of TCSC to observe the variation in transmission line reactance with change in the triggering angle of the thyristors using Simulink in MATLAB. The control circuit for each thyristor is designed in MATLAB to generate the requisite gate pulses. The TCSC module is designed for operation in capacitive mode and the variation in net reactance by changing the triggering angle (α) is determined and tabulated. The region of operation is from 130° to 180° where the reactance of the TCSC was observed to be reducing with increase in α. © Research India Publications.

More »»

2015

Journal Article

Dr. Anju Pillai S. and Dr. Isha T. B., “Laboratory Resource Management System with Intelligent Power-Aware Strategies-A Software Approach”, Journal of Circuits, Systems and Computers, World Scientific Publishers, vol. 24, 2015.[Abstract]


Fast growing technologies have made pervasive computing elements part of our routine life. These computing elements dissipate a lot of energy, and power optimization is one of the critical design aspects of such systems. In this work an intelligent laboratory automation and resource management system (iLARMS) is proposed, which incorporates power-aware strategies activated in software with hardware support. In the current work, investigations are carried out to observe the energy issues of the application and the processors used. Various software techniques for energy saving are incorporated in the application level and in the processor core level. The hardware implementation of the proposed resource management system is carried out using PIC16F877A and ARM7 LPC2148 microcontrollers and Intel Core 2 Duo processors. An average energy saving of the order of 48.78% was achieved with iLARMS when compared to a conventional resource management system. © 2015 World Scientific Publishing Company. More »»

2015

Journal Article

A. J. Cyriac and Vidya, V., “Prototype of a coconut harvesting robot with visual feedback”, Advances in Intelligent Systems and Computing, vol. 380, pp. 235-240, 2015.[Abstract]


This paper discusses about the design and development of a semi-autonomous robot that is intended for harvesting coconuts. The robot is composed of two parts: the climbing mechanism and the harvesting mechanism. The harvesting mechanism consists of a robotic arm with three degrees of freedom and has a circular saw as the end effector. It also consists of a camera that is fixed on the wrist of the robotic arm, with which the video of the tree top is sent to the ground station in real time. For this a Linux-based ARM board is used. The climbing mechanism consists of a circular chassis. Three wheels that are powered by DC motors with sufficient torque are set at equal distance around the coconut tree. There are another three motors that ensure sufficient tightening of the climbing mechanism to the coconut tree. The climbing part also has a special mechanism to rotate around the coconut tree, so that the robotic arm gets full coverage around the coconut tree. The entire movement of the robot is controlled from the ground station, using a remote controller. © Springer India 2016.

More »»

2015

Journal Article

P. Sivraj and K., S. K., “Selection of communication technology for smart distribution grid”, International Journal of Applied Engineering Research, vol. 10, pp. 1303-1308, 2015.[Abstract]


The paper suggests selection of communication technology for a smart micro grid, which needs to perform a variety of power system control actions based on real time data, through ns2 simulation of available technologiesand validation on hardware simulator. The simulation results suggest a heterogeneous network for communication. The paper also puts forth the steps required in the design of communication architecture for smart distribution grid. The smart micro grid hardware used for the study is also described.

More »»

2015

Journal Article

S. P.K., Sivraj, P., and K.K., S., “Zigbee based communication network for smart meter message passing”, International Journal of Applied Engineering Research, vol. 10, pp. 18480-18484, 2015.[Abstract]


Smart metering was introduced as part of automating the grid, where the meters automatically send the meter readings to the central utility. Unlike the existing system of GSM based single hopping transmission that involves huge traffic and costs, a meter-to-meter multi hopping data transmission network is proposed here. The selection of communication technology in smart meter network is very crucial. In this paper, a smart meter network with random topology is taken and, based on the literature survey and taking the advantages into account, ZigBee is selected for home-to-home network and also for communication between data collecting node and central station. Analysis of the selected network is done based on the performance metrics like throughput, delay, packet delivery ratio and number of repeater nodes. The multi hopping smart meter network is implemented in hardware and received data is made accessible in the system via GUI.

More »»

2015

Journal Article

N. T.P., P., S., and Dr. Sasi K. K., “Sensor Based Communication Network for WACS with DNP3”, Procedia Technology, vol. 21, pp. 76 - 81, 2015.[Abstract]


Smart grid is the emerging electricity network envisaged to connect the supplier and the consumer by two-way digital communication. One of the main attractions of the smart grid is the Wide Area Control System (WACS) with distributed controllers which actuate the instructions issued by the central controller. This paper focuses on the hardware implementation of a communication network for WACS in which ZigBee is used as the communication technology from the control station to the control unit. The control message sent should follow Distributed Network Protocol version 3 (DNP3), which is an IEEE standard for communication between central station and Intelligent Electronic Devices (IEDs). The simulation is done in network simulator (ns2), in which the number of packets follows the DNP3 format. Using mbed board a network topology is created for the WACS communication network and the control messages are communicated from the control station to the control units to validate a satisfactory performance.

More »»

2015

Journal Article

A. G.S., Sivraj, P., and Dr. Sasi K. K., “Resource Management on Smart Micro Grid by Embedded Networking”, Procedia Technology, vol. 21, pp. 468–473, 2015.[Abstract]


Smart Grid, the next generation electric grid offers continuous monitoring and control which needs management of resources like measured data, control information, relays, switches etc. These resources will increase as the grid emerges and management of these scattered, bulk and highly complicated data will become difficult with conventional data storing and resource management mechanisms, which makes the cloud model of resource management relevant and significant. This paper deals with the formation of an embedded networking with six systems. Graphical User Interfaces (GUI) are created for different stake holders like consumers, energy traders, operators etc. through which they can access and control the grid assets. The proposed system will improve the performance of the grid by enabling various functionalities such as: analyzing energy usage, managing peak usage, demand management, trading of electricity between smart grid stakeholders such as consumers, operators, generators etc., which ensure efficient operation and management of the smart micro grid.

More »»

2015

Journal Article

T. P. Neeraja, Sivraj, P., and Dr. Sasi K. K., “Wide Area Control Systems (WACS) Implementation Based on Sensor Network Concepts”, Procedia Technology, vol. 21, pp. 303–309, 2015.[Abstract]


Wide Area Control Systems (WACS) are introduced to respond to the real time control requirements of a smart grid. The control messages in smart grid can be of different levels of criticality. Therefore priority based routing, depending on criticality of messages, is very essential in control message communication. The topology of the system considered, involves control units connected to five buses in a smart micro grid. The performance metrics are identified and threshold values are fixed. Different communication technologies are simulated and the performance is compared. Multi hopping communication is established between the nodes and heterogeneous communication architecture is implemented. The need for dynamic routing protocol in the grid, as the traffic on the network changes over time, is also met. A communication scenario which dynamically routes the control message from central station to control units depending on priority, through the shortest path available, is identified here.

More »»

2015

Journal Article

Dr. Sindhu M. R., Nair, M. G., and Nambiar, T. N. P., “Three Phase Auto-tuned Shunt Hybrid Filter for Harmonic and Reactive Power Compensation”, Procedia Technology, vol. 21, pp. 482 - 489, 2015.[Abstract]


Abstract Hybrid filters are highly recommended for harmonic and reactive compensation in existing installations. Since current harmonic compensation can limit voltage harmonics also to a great extent, shunt hybrid filters are preferred. The traditional shunt hybrid filter consists of shunt passive and shunt active filter. Here, shunt passive filter provides fixed compensation at all load conditions. Therefore, probably at low load conditions, shunt passive filter acts as major consumer. This embarrassing situation can be avoided by replacing traditional shunt passive filter with the shunt auto-tuned passive filter. The shunt auto-tuned passive filter uses an \{ANN\} based controller to select passive filter components to provide adequate harmonic and reactive compensation under all load conditions. Remaining harmonic and reactive power compensation are provided by \{ANN\} based active filter. The performance of the proposed hybrid filter was tested by simulation and laboratory experiments under various source/load conditions and the results show that the proposed shunt hybrid filter is adaptive to varying source/load conditions. More »»

2015

Journal Article

Sindhu S., Dr. Sindhu M. R., and Nambiar, T. N. P., “An Exponential Composition Algorithm Based UPQC for Power Quality Enhancement”, Procedia Technology, vol. 21, pp. 415 - 422, 2015.[Abstract]


Abstract Power quality is a major concern nowadays due to extensive use of smart controllers based power system equipment. These controlled load behaves with nonlinear characteristics. It introduces distortions in source voltage and source current at the point of common coupling (PCC). The distortions are propagated throughout the system and affects performance characteristics of all other loads connected to the same point of common coupling. Hence mitigation of power quality issues is essential to maintain good power quality at the point of common coupling. This paper deals with implementation of unified power quality conditioner (UPQC) to compensate for power quality issues voltage sag, voltage harmonics and current harmonics. \{UPQC\} is controlled by an exponential composition algorithm (ECA), which is proposed by the author. The performance of \{UPQC\} is examined with a nonlinear load and simulation studies using MATLAB/Simulink verify the satisfactory performance of UPQC. More »»

2015

Journal Article

Dr. Sindhu M. R., A.Nair, A., .V.Satheesan, A., and Kadirimangalam, P., “Power Quality Improvement using Shunt Active Filters for Three Phase Traction Drive”, International Journal of Applied Engineering Research, vol. 10, pp. 35677-35682, 2015.

2015

Journal Article

Dr. Sindhu M. R. and Nair, M. G., “An Adaptive Shunt Passive filter for Power Quality Improvement”, International Journal of Applied Engineering Research, vol. 10, pp. 615-621, 2015.

2015

Journal Article

Dr. Sindhu M. R., Jos, A., S, S., and Nambiar, T. N. P., “Design and simulation of an improved algorithm for three phase shunt active filter”, International Journal of Applied Engineering Research, vol. 10, pp. 844-849, 2015.

2015

Journal Article

Dr. Sindhu M. R., Arjun R, S, S., and Nambiar, T. N. P., “Power Quality Compensation for an Induction Motor Drive with UPQC”, International Journal of Applied Engineering Research, vol. 10, pp. 15227-15231, 2015.

2015

Journal Article

Dr. Anju Pillai S. and T.B., I., “A Quantitative Study Based On Direct Measurement On Embedded Processors Limiting Context Switches For Energy Saving”, Journal of Engineering Science and Technology, vol. 10, 2015.[Abstract]


Priority based preemptive schedulers are preferred over non-preemptive schedulers due to their flexibility to accommodate real time tasks based on criticality. The overhead associated with a preemptive scheduler is high and with increased number of preemptions and the associated context switches, the execution pattern of tasks become highly unpredictable at run time. In this paper, an effort is made to provide an insight into the significance of controlling context switches during real time application development. The system under study consists of an ARM7 LPC2148 microcontroller, whose energy consumption measurement is carried out with the help of MBED NXP 1768 controller. A study is done by analytical verification and a software simulation using embedded C with Keil uVision IDE. The energy consumed by the processor with and without context switches is verified experimentally by direct measurement. The two factors considered for analysis are increased delay and the augmented energy dissipation during a context switch. It is seen that a substantial saving of time and energy is associated with every context switch. More »»

2015

Journal Article

P. Samuel, Sreekumar, A., Swetha, K., Swetha, A., and V. Pillay, R., “Enhanced Performance Capability in a Dual Redundant Avionics Platform – Fault Tolerant Scheduling with Comparative Evaluation”, Proceedings of International Conference on Information and Communication Technologies (ICICT 2014), vol. 46, pp. 921 - 932, 2015.[Abstract]


For mission critical applications like Avionics, dependability is to avoid consequences of catastrophic results. Traditionally fault tolerance is implemented using hardware redundancy, the higher the redundancy, greater the cost and possibilities of more failures occurring. In this paper, an adaptive fault tolerant scheduling mechanism developed earlier with augmented performance capability and online fault recovery for a dual redundant system has been extended for an avionics mission system. An algorithm has been developed, simulated and evaluated on the practical case study vis –a- vis a traditional dual redundant system. This paper also roposes an extension of earlier scheme to schedule arrival of either/and critical and non -critical aperiodic tasks. The augmented scheme helps to achieve full functionality when no fault occurs, a fail safe mechanism for a single fault and performance metrics highlights the better computational performance. It elucidates that the use of this adaptive model leverages better in terms of enhanced performance and throughput compared to the existing dual redundant systems. More »»

2015

Journal Article

P. Krishnapriya and Dr. Sindhu M. R., “Multi-objective optimal design and control of auto-tuned passive filter using bacterial foraging algorithm to improve power quality and to minimise power losses”, International Journal of Control Theory and Applications, vol. 8, pp. 2013-2020, 2015.[Abstract]


This paper presents a multi-objective optimization algorithm based design and control of harmonic filters in a practical system. The selected system is an interconnected system consisting of nonlinear loads. The harmonics injected by the nonlinear loads are propagated through the system and lead to deteriorated power quality at the terminals of all the connected loads. The proposed methodology is selected such as to minimize total harmonic current and voltage distortion introduced into point of couplings and losses and to improve the source power factor. The optimization of the objectives is achieved with bacterial foraging algorithm. Simulation and experimental results verify the performance of the algorithm. More »»

2015

Journal Article

S. Sindhu, Dananjayan, D., and Dr. Sindhu M. R., “Simplified control algorithm for power quality improvement in industrial applications”, International Journal of Control Theory and Applications, vol. 8, pp. 2021-2028, 2015.[Abstract]


This paper deals with the design and development of a control strategy for improving the power quality in the grid. The proposed control algorithm aims at eliminating the harmonics, compensation of the reactive power and power factor correction thereby enhancing the performance of system. The overall system is designed, developed, operated in MATLAB-SIMULINK and system performance is validated by simulation results. More »»

2015

Journal Article

A. D. Krishna and Dr. Sindhu M. R., “Application of static synchronous series compensator (SSSC) to enhance power transfer capability in IEEE standard transmission system”, International Journal of Control Theory and Applications, vol. 8, pp. 2029-2036, 2015.[Abstract]


This paper presents implementation of Static Synchronous Compensator (SSSC) in an IEEE 5 bus system for real and reactive power flow control, to meet constraints on bus voltage magnitude, stability and thermal limits. This is made possible by appropriately controlling the magnitude and phase angle of injected voltage of series compensator. Simulation results obtained after performance study of SSSC in MATLAB/SIMULINK validate the effectiveness of the controller. The comparative study of the simulation results before and after compensation shows reduction in losses, overloading and improvement in bus voltage profile attained with SSSC compensation. More »»

2015

Journal Article

Dr. Oruganti Venkata Ramana Murthy and Goecke, R., “Harnessing the Deep Net Object Models for Enhancing Human Action Recognition”, CoRR, vol. abs/1512.06498, 2015.[Abstract]


In this study, the influence of objects is investigated in the scenario of human action recognition with large number of classes. We hypothesize that the objects the humans are interacting will have good say in determining the action being performed. Especially, if the objects are non-moving, such as objects appearing in the background, features such as spatio-temporal interest points, dense trajectories may fail to detect them. Hence we propose to detect objects using pre-trained object detectors in every frame statically. Trained Deep network models are used as object detectors. Information from different layers in conjunction with different encoding techniques is extensively studied to obtain the richest feature vectors. This technique is observed to yield state-of-the-art performance on HMDB51 and UCF101 datasets. More »»

2015

Journal Article

Dr. Oruganti Venkata Ramana Murthy and Goecke, R., “Ordered trajectories for human action recognition with large number of classes”, Image and Vision Computing, vol. 42, pp. 22 - 34, 2015.[Abstract]


Abstract Recently, a video representation based on dense trajectories has been shown to outperform other human action recognition methods on several benchmark datasets. The trajectories capture the motion characteristics of different moving objects in space and temporal dimensions. In dense trajectories, points are sampled at uniform intervals in space and time and then tracked using a dense optical flow field over a fixed length of L frames (optimally 15) spread overlapping over the entire video. However, among these base (dense) trajectories, a few may continue for longer than duration L, capturing motion characteristics of objects that may be more valuable than the information from the base trajectories. Thus, we propose a technique that searches for trajectories with a longer duration and refer to these as ‘ordered trajectories’. Experimental results show that ordered trajectories perform much better than the base trajectories, both standalone and when combined. Moreover, the uniform sampling of dense trajectories does not discriminate objects of interest from the background or other objects. Consequently, a lot of information is accumulated, which actually may not be useful. This can especially escalate when there is more data due to an increase in the number of action classes. We observe that our proposed trajectories remove some background clutter, too. We use a Bag-of-Words framework to conduct experiments on the benchmark HMDB51, \{UCF50\} and \{UCF101\} datasets containing the largest number of action classes to date. Further, we also evaluate three state-of-the art feature encoding techniques to study their performance on a common platform. More »»

2015

Journal Article

B. Meghana and Dr. Supriya M., “A Novel Technique Against Selfish Node Attacks”, International Journal of Applied Engineering Research, vol. 10, pp. 10685–10695, 2015.

2015

Journal Article

R. Mahalakshmi and Dr. Sindhu Thampatty K.C., “Implementation of Grid Connected PV array using Quadratic DC-DC Converter and Single Phase Multi Level Inverter”, Indian Journal of Science and Technology, vol. 8, 2015.[Abstract]


Electrical energy generation from solar and wind is increasing day by day and the extraction of good quality electrical energy effectively as well as efficiently is really challenging. This paper focuses on the extraction of electrical energy from solar cells and interconnecting it to the single phase grid through a Quadratic Buck-Boost Converter (QBBC) and Multi Level Inverter (MLI). MLI uses three DC sources, one of which is derived from the solar array through QBBC with Maximum Power Point Tracking (MPPT) controller. In this paper, a new converter topology which accepts wide variations in input voltage has been designed to produce minimum distortion in MLI output with reduced number of switches. The proposed system is designed and implemented in the laboratory and the output is analyzed in different operating conditions

More »»

2015

Journal Article

A. Suyampulingam and Subbiah, V., “Variable Speed Low Power Wind Turbine Emulator Using DC Motor – PMSG Set”, International Journal of Applied Engineering Research, vol. 10, pp. 9089-9093, 2015.

2015

Journal Article

L. Devadas, Vanitha, V., and Resmi, R., “Modified Double Vector Control Theory Based Dynamic Voltage Restorer”, International Journal of Applied Engineering Research, vol. 10, 2015.

2015

Journal Article

R. Thirumoorthy and Vanitha, V., “Wind Turbine Emulator Using Separately Excited DC Motor”, International Journal of Applied Engineering Research, vol. 10, 2015.

2015

Journal Article

D. V. Vanitha, Varadharajan, V., Viswanathan, R., and Harish, T., “Control of Micro Grid with Enhancement of Wind Power Evacuation”, Wind Engineering, vol. 39, pp. 519-532, 2015.

2015

Journal Article

D. R. Nair and N. Prakash, K., “Efficient LED Lighting System Using Sensor Nodes”, International Journal of Applied Engineering Research , vol. 10, pp. 9013 – 9018, 2015.

2015

Journal Article

V. Babu S, S, A., R, V. Arvind, N, K., and N, K. Prakash, “Improved Shadow Based Automatic Solar Tracking System”, International Journal of Applied Engineering Research, vol. 10, pp. 9024-9028, 2015.

2015

Journal Article

“Grid interfacing of a PV System”, International Journal of Applied Engineering and Research, vol. 10, pp. 3607-3611, 2015.

2015

Journal Article

D. M and K, V., “Solar PV Charger System with SEPIC Converter and MPPT control”, International Journal of Applied Engineering and Research, vol. 10, 2015.

2015

Journal Article

A. Babu, .R.Krishnan, A., .D, A., .S, N., and N. Kumar, P., “Genetic Algorithm Based Speed Control of Three Phase Induction Motor”, International journal of applied engineering research, vol. 10, 2015.

2015

Journal Article

S. Selva Kumar, K.R., A., Sreeshitha Sreedhar, ,, and A., V., “Electronic Soft Starter For Induction Motors”, International Journal of Applied Engineering Research, vol. 10, pp. 3531-3535, 2015.

2015

Journal Article

M. Anju V. S, Dr. Vijaya Chandrakala K. R. M., Balamurugan, D. S., and Janarthanan, M. N., “Simulated Annealing Based Optimal Load Frequency Control of a Two Area Non -Linear System with Static Synchronous Series Compensator”, International Journal of Applied Engineering Research, vol. 10, pp. 3165-3170, 2015.[Abstract]


This paper presents an application of a Fractional Order Proportional Integral Derivative (FOPID) controller for load frequency control in a non-linear system. When the system is subjected to unit step load disturbance in any one of the area, the variations occur in frequency and tie-line power flow. To control the frequency and tie-line power flow between the areas, optimal secondary controller is required. In this work, Proportional Integral Derivative (PID) controller is used as secondary controller. For good approximation on the behaviour of the system, FOPID controller is used which analyses the integral and derivative order as fractions rather than integers. Simulated Annealing (SA) technique is employed for tuning the PID and FOPID controller gains on a large search space. As Flexible Alternating Current Transmission System (FACTS) device proves its flexibility of meeting the demand change at a faster rate before the secondary controller comes into action, Static Synchronous Series Compensator (SSSC) is incorporated along with the secondary controller for much improved control on the tie-line power flow. The response of FOPID controller with SSSC is found to be better and results are validated using performance indices.

More »»

2015

Journal Article

A. Suresh, Resmi, R., and Vanitha, V., “Mathematical Model of Brushless Doubly Fed Induction Generator Based Wind Electric Generator”, In Power Electronics and Renewable Energy Systems, Springer India, pp. 1477-1487, 2015.

2015

Journal Article

R. .R and .V, V., “ Modeling of Brushless Doubly Fed Induction Generator with converter control”, ARPN Journal of engineering and applied sciences, vol. 10, 2015.

2015

Journal Article

R. .R, V, A. Agoram, Perumal, A., and .Vanitha, V., “Design and Analysis of Brushless Doubly Fed Induction Generator”, Procedia Technology, Elsevier, vol. 21, pp. 604-610, 2015.

2015

Journal Article

S. Selva Kumar, Arjun VR, Sreeshitha Sreedhar, Sriramakrishnan S, and Vignesh A, “Electric Soft Staters for induction Motors”, International Journal of Applied Engineering Research, vol. 10, no. 55, pp. 3531-3535, 2015.

2015

Journal Article

S. Selva Kumar and NeenuElzaCherian, “Scheduling of Shiftable loads for demand side management”, International Journal of Applied Engineering Research, vol. 10, no. 20, pp. 18862-18867, 2015.

2015

Journal Article

P. S and Dr. Sindhu Thampatty K.C., “Dynamic Modeling and Control of UPFC for Power Flow Control”, Elsevier, Procedia Technology , vol. 21, pp. 581-588, 2015.[Abstract]


Unified Power Flow Controller can control the power system parameters like voltage, line reactance and phase angle to control power flow in the transmission line. The control of power flow in the transmission line done by injecting a suitable voltage with a phase angle. In this paper design a decoupled control scheme for shunt and series converter to track the reference power inputs by using conventional PI controller. Modeling is done by using MATLAB/SIMULINK software. The analysis is done on the system with different power factors and load conditions. The results show that UPFC is able to track the power changes and inject a suitable voltage into the power system so that power flow can be maintai

More »»

2015

Journal Article

R. .Mahalakshmi and Dr. Sindhu Thampatty K.C., “Grid Connected Three Phase Six Level Inverter for Renewable Energy Applications”, Elsevier, Procedia Technology , vol. 21, pp. 581-588, 2015.[Abstract]


Electrical energy generation from renewable energy sources such as sun, wind etc., are widely adopted due to the increase in electricity consumption. The integration of renewable energy sources with the grid plays an important role in energy utilization. It is difficult to utilize electricity from renewable energy sources directly for the injection of power into the grid. Hence the system needs power electronic converters as an interface between renewable energy sources and grid/load. This paper discusses about the integration of three phase six level voltage source inverter into the grid. Three phase 2000 VA inverter is designed by using three, single phase eight switch six level inverters (in quarter cycle) and each single phase inverter uses three DC voltage sources which can be derived from renewable energy sources such as solar, wind and fuel cell. The pure sinusoidal 415 V three phase voltage is obtained from inverter to inject the power into grid and to the three phase resistive load. The proposed three phase Multi Level Inverter (MLI) is compared with the conventional three phase inverter and the observed THD of the conventional MLI is 31%. THD of the proposed MLI output voltage is analyzed which is 0.13% and found to be very less compared to six and 12 pulse conventional converter topologies. The simulation on the proposed inverter topology is done in MATLAB/Simulink and the results are verified.

More »»

2015

Journal Article

Dr. Sindhu Thampatty K.C. and Raj, P. C. Reghu, “An Adaptive RTRL Based Neurocontroller for Damping Power System Oscillations”, International Journal of Applied Power Engineering (IJAPE) , vol. 4, no. 1, pp. 1-12, 2015.[Abstract]


The main objective of this paper is to present the design of an adaptive neuro-controller for series connected FACTS devices like Thyristor Controlled Series Capacitor (TCSC) and Thyristor controlled Power Angle Regulator (TCPAR). This control scheme is suitable for non-linear system control, in which the exact linearised mathematical model of the system is not required. The proposed controller design is based on Real Time Recurrent Learning (RTRL) algorithm in which the Neural Network (NN) is trained in real time. This control scheme requires two sets of neural networks. The first set is a neuro-identifier and the second set is a neurocontroller which generates the required control signals for the thyristors. Performance of the system is analysed with the proposed controller using standard simulation environments like MATLAB/SIMULINK and it has been observed that the controlleris robust and the response is very fast. Performance of the system with proposed controller is compared with conventional PI controllers and GA based PI controllers. Performace of the proposed controller is extremely good.

More »»

2014

Journal Article

Dr. Vijaya Chandrakala K. R. M., Sukumar, B., and Sankaranarayanan, K., “Load Frequency Control of Multi-source Multi-area Hydro Thermal System Using Flexible Alternating Current Transmission System Devices”, Electric Power Components and Systems, vol. 42, pp. 927-934, 2014.[Abstract]


AbstractThis article describes the load frequency control of a multi-area system. Each control area contains both a hydro and thermal power plant to form a multi-source multi-area hydro thermal system. The secondary proportional-integral controller has been tuned using Ziegler–Nichols, genetic algorithm, and fuzzy gain scheduling methods. On comparing the controller performance based on various performance indices, it is found that a fuzzy gain scheduling tuned proportional-integral controller is suitable for a multi-source multi-area hydro thermal system. Further improvement on the load frequency dynamics has been achieved by connecting superconducting magnetic energy storage unit in each control area and a static synchronous series compensator unit on a tie-line.

More »»

2014

Journal Article

Gandhiraj R. and Dr. Soman K. P., “Modern analog and digital communication systems development using GNU Radio with USRP”, Telecommunication Systems, vol. 56, pp. 367-381, 2014.[Abstract]


In this modern world many communication devices are highly intelligent and interconnected between each other. Any up-gradation of the hardware in the existing communication devices is not easier one. Compatibility of the new hardware with existing hardware is highly essential. But the new protocols may or may not support the older one. The solution for these problems can be provided by using the reconfigurable hardware design. The hardware can be reprogrammed according to the new change in technology up-gradation. The cost of commercially available hardware and software requirements for setting up such a module is very high. This can be solved by using Open source hardware and software such as Universal Software Radio Peripheral (USRP) and GNU Radio. This work demonstrates how the modern analog communication system like Community Radio Schemes and Radio Data System (RDS) and digital communication systems such as Simple Digital Video Broadcasting (DVB) and OFDM based data communication can be developed using the Open source hardware USRP1. This work will be helpful even for first year level of engineering students to easily implement any communication and control applications with cheaper cost. © 2013 Springer Science+Business Media New York. More »»

2014

Journal Article

S. Balamurugan, Shanthini, B. M., Lekshmi R. R., and Dr. Vijaya Chandrakala K. R. M., “Fuzzy Based Tariff”, Journal of Electrical Systems, vol. 10, pp. 465 - 471, 2014.[Abstract]


In deregulated and smart grid system, time based tariff is implemented using complex communication system. This time based tariff depending on market clearing price initiates demand management. Moreover, the consumer supporting the utility by adopting demand management technique is not benefited directly by the utility. In this paper, tariff is locally decided by the smart meter based on change in frequency and change in demand using Fuzzy logic. Based on the relation between change in frequency and change in demand with tariff, fuzzy rules are developed. On implementing fuzzy based tariff, the consumers supporting utility by doing demand management gets more benefited without using the complex communication network. [ABSTRACT FROM AUTHOR] More »»

2014

Journal Article

Dr. Vijaya Chandrakala K. R. M., Balamurugan, S., Janarthanan, N., and Anand, B., “Variable structure fuzzy gain schedule based load frequency control of non-linear multi source multi area hydro thermal system”, International Journal on Electrical Engineering and Informatics, vol. 6, p. 785, 2014.[Abstract]


The article focuses on the issues of Load Frequency Control (LFC) under non-linear strategies in multi source multi area hydro thermal system. On practical perspective dead band, boiler dynamics, reheat steam turbine along with hydro turbine operating under two different area capacities are considered in the system. When subjected to random load variations in both the areas, the system exhibits higher oscillations. The speed governor matches the generation with the demand. The offset in the area frequencies and tie-line power is removed by using secondary Proportional Integral (PI) controller. The PI controller is tuned using Ziegler Nichols’ (ZN) and Fuzzy Gain Scheduling (FGS) method. The influence of high Proportional (P) controller gain during steady state and high Integral (I) controller gain during transient affects the system performance. Variable Structure System (VSS) helps to switch from P to PI controller during transient to steady state based on control error. The concept of VSS is applied to Fuzzy Gain Scheduling (FGS) PI controller. The performance of the optimal Variable Structure Fuzzy Gain Scheduled (VSFGS) controller under non-linear environment is judged and validated using performance indices. More »»

2014

Journal Article

R. N., V., V., and P., A. Archana., “Security in wireless sensor Networks in smart grids”, International Journal of Applied Engineering and research, vol. 9, 2014.

2014

Journal Article

A. E., B., R. Sundaram, G., K., S., H., and V., S. K., “Improvised Energy Meter Supporting Wireless Data Transfer”, Research Journal of Applied Sciences Engineering and Technology, vol. 8, pp. 1266-1271, 2014.[Abstract]


The purpose of the study is to design a prototype model of an energy meter which has the ability of wireless data transfer such as sending emails and SMS. In the current energy monitoring scenario, manual energy meter monitoring is a cumbersome and tedious process for the electricity boards. It involves huge manpower and higher expenditure for a simple task. Manual energy meter monitoring is highly erroneous and amounts to great losses for both the consumers and the electricity boards. In this conventional technique, losing the bills and delay in the arrival of the official to note down the reading are common affairs. Complete digitalization of bill delivery and transaction processes eliminates such uneventful circumstances. The manual reading method is inefficient to meet the raising power demands. The invention described here has the potential to wipe of manual energy meter reading from the scene and replace it with a sophisticated automated system facilitating remote monitoring of energy consumption. In this proposed system, the Raspberry Pi performs all the essential functions of a microcontroller and supports features like sending emails and SMS with the aid of Wi-Fi dongle and GSM modem. This automated system enables continuous monitoring of energy consumption. More »»

2014

Journal Article

Dr. Anju Pillai S. and Dr. Isha T. B., “Dynamic frequency scaling based energy consumption reduction for power-aware embedded systems - a simulation and experimental approach”, International Journal of Electrical Systems, vol. 10, pp. 36-47, 2014.[Abstract]


Energy conservation is a critical issue in battery operated systems. Energy consumption reduction of portable embedded systems is essential for increasing the battery life, enabling better system usefulness. One of the promising techniques of energy consumption reduction is Dynamic Voltage and Frequency (DVFS). In this paper, a Dynamic Frequency Scaling (DFS) method is used to reduce the energy consumed by an Atmel ATmega 16 microcontroller while executing a robotic application. A noticeable amount of energy saving was observed both by simulation and experimental validation when switching frequency was varied from rated frequency to below rated frequencies, without violating any of the temporal requirements. More »»

2014

Journal Article

Dr. Umamaheswari A., Mohan, S. R., S. Kumar, S., and Dr. Sivakumar M., “Phase tuning of zirconia nanocrystals by varying the surfactant and alkaline mineralizer”, Ceramics International, vol. 40, pp. 6561 - 6568, 2014.[Abstract]


The influence of cationic (CTAB)/neutral polymeric (PVP) surfactants and strong (NaOH)/weak (NH4OH) alkaline mineralizers on phase stabilization of zirconia nanocrystals synthesized by chemical precipitation is investigated. X-ray diffraction and micro-Raman analysis of the as-prepared samples show that tetragonal zirconia is predominant as compared to monoclinic using \{PVP\} with NH4OH. The phases are also evident from lattice fringes of \{TEM\} images and the corresponding \{SAED\} pattern. Photoluminescence spectra of samples reveal oxygen vacancies present in the zirconia nanocrystals. The group H Raman vibration modes identified are attributed to surface defects and quantum size effects of nanocrystals. The phase stabilization of zirconia nanocrystals is explained using the polymerization rate of tetramers during synthesis. The rate can be varied by proper selection of the surfactant and the mineralizer. A slow polymerization rate with \{PVP\} and \{NH4OH\} favors the formation of tetragonal zirconia. Thus, a simple method for phase stabilization of zirconia nanocrystals at room temperature using chemical precipitation by varying the surfactant and the mineralizer is demonstrated.

More »»

2014

Journal Article

Dr. Manjula G. Nair, Sindhu, M. R., and Nambiar, T. N. P., “Dynamic Power Quality Compensator with an Adaptive Shunt Hybrid Filter”, International Journal of Power Electronics and Drive Systems, vol. 4, no. 4, pp. 508-516, 2014.

2014

Journal Article

N. Swarupa, Vishnuvardhini, C., Poongkuzhali, E., and Dr. Sindhu M. R., “Power Quality Analysis Using LabVIEW”, International Journal of Research in Engineering and Technology, vol. 3, no. 3, pp. 322-331, 2014.[Abstract]


In the present scenario the ever increasing existence of non linear loads and the increasing number of distributed generation power systems in electrical grids modify the characteristics of voltage and current waveforms in power systems, which differ from pure sinusoidal wave. The target of this paper is to design an accurate measurement system and display the system parameters under distorted system conditions. Harmonics, Sub Harmonics, and Inter Harmonics are measured and displayed using LabVIEW. The voltage and current are sensed using sensors for various loads, which are then interfaced with the PC using DAQ (Data Acquisition) card and displayed using LabVIEW. The Hardware implementation includes setting up of test systems such as diode bridge rectifier and thyristor based converter with various loads such as resistive, inductive and DC shunt motor. Experimental results obtained for various loads and source conditions are cross verified with theoretical analysis. The response obtained in hardware and simulation proves the effectiveness of the system. More »»

2014

Journal Article

Dr. Anju Pillai S. and T.B., I., “Energy efficient task allocation and scheduling in distributed homogeneous multiprocessor systems”, WSEAS Transactions on Computers, vol. 13, pp. 613-623, 2014.[Abstract]


With the advent of semi conductor technology, the development of more complex embedded real time applications is made possible today. This accelerates the development and support for multiprocessor based systems. The paper presents the development of “a power-aware real time embedded system for temperature monitoring and control in safety critical applications”. The main objective of the work is to perform a hardware implementation of task allocation for multiprocessor systems based on task dependencies and precedence relations and schedule the real time tasks. The proposed work also provides an energy-aware solution by integrating Dynamic Voltage Frequency Scaling (DVFS) technique and shutting off the unused peripherals of the processor. A laboratory model of multiprocessor based experimental setup was developed to validate the functioning of algorithms using ARM7 LPC2148 microcontrollers. More »»

2014

Journal Article

H. M. and R., S. Sundaram, “Development of a nonintrusive driver drowsiness monitoring system”, Advances in Intelligent Systems and Computing (AISC), vol. 1, pp. 737-743, 2014.[Abstract]


Driver errors and carelessness contribute most of the road accidents occurring nowadays. The major driver errors are caused by drowsiness, drunken, and reckless behavior of the driver. This paper focuses on a driver drowsiness detection system in Intelligent Transportation System, which focuses on abnormal behavior exhibited by the driver. In the proposed system, a nonintrusive driver drowsiness monitoring system has been developed using computer vision techniques. Based on the simulation results, it was found that the system has been able to detect drowsiness in spite of driver wearing spectacles as well as the darkness level inside the vehicle. Moreover, the system is capable of detecting drowsiness within time duration of about 2 s. The detected abnormal behavior is corrected through alarms in real time. More »»

2014

Journal Article

K. V., Mridul, M., N., R., R., S. Prabu, and K., V., “A Perturb and Observe Based Solar MPPT System for Stand-alone Applications”, International Journal of Advancements in Electronics and Electrical Engineering – IJAEEE, vol. 3, 2014.

2014

Journal Article

K. Bipina and Lekshmi R. R., “Modelling of Demand management for a wind battery powered micro grid”, International Journal of Science and Technology, vol. 30, no. 30, pp. 16 – 21, 2014.

2014

Journal Article

M. S., K. C. Sindhu Thampatty, and N., A., “Design and implementation of a look up table based TCSC controller for power system stability enhancement”, International Journal of Applied Engineering Research, vol. 10, 2014.[Abstract]


The demand for electric power is increasing day by day and it is difficult to build new power lines while considering environmental and economical aspects. While increasing the loading of routing lines it may result in the poor damping of power system oscillations. This paper presents the design and hardware implementation of GA based TCSC controller for power system stability enhancement. The effective control is brought by the help of most robust artificial intelligence technique, i.e. Genetic Algorithm. The hardware implementation of this work is completed with the lookup table based control achieved from Arduino. MATLAB/SIMULINK is used to examine the transient stability of the system while incorporating TCSC to the Single machine infinite bus system. Performance analysis of the hardware set up obtained shows that this approach is far better and economical than any other alternatives. More »»

2014

Journal Article

A. T. and M.V., V., “An FPGA-based parallel architecture for on-line parameter estimation using the RLS identification algorithm”, Microprocessors and Microsystems, vol. 38, pp. 496 - 508, 2014.[Abstract]


Abstract A parallel architecture for an on-line implementation of the recursive least squares (RLS) identification algorithm on a field programmable gate array (FPGA) is presented. The main shortcoming of this algorithm for on-line applications is its computational complexity. The matrix computation to update error covariance consumes most of the time. To improve the processing speed of the RLS architecture, a multi-stage matrix multiplication (MMM) algorithm was developed. In addition, a trace technique was used to reduce the computational burden on the proposed architecture. High throughput was achieved by employing a pipelined design. The scope of the architecture was explored by estimating the parameters of a servo position control system. No vendor dependent modules were used in this design. The RLS algorithm was mapped to a Xilinx FPGA Virtex-5 device. The entire architecture operates at a maximum frequency of 339.156 MHz. Compared to earlier work, the hardware utilization was substantially reduced. An application-specific integrated circuit (ASIC) design was implemented in 180 nm technology with the Cadence RTL compiler. More »»

2014

Journal Article

V. V. and K., S., “Effect of crowbar resistance on fault ride through capability of doubly fed induction generator”, International Journal of Current Research and Academic Review, vol. 2, 2014.[Abstract]


International agreements have set high demands on the share of renewable energy in the total energy mix. Among the different renewable energy sources, significant investments are made in wind power. More and more wind turbines are being built and their number is rising dramatically. There are many different generator technologies, but this paper focuses on Doubly Fed Induction Generator (DFIG). DFIGs are the generators which are connected to the grid on both stator and rotor sides. The machine is controlled via converters connected between the rotor and the grid. The size of these converters determines the speed range of the DFIG. Wind farm connections to the grid must satisfy grid requirements set by Transmission System Operators (TSO). This means that the study on dynamic response of windfarms subjected to weak and strong disturbances and their Fault Ride Through (FRT) capabilities have become a critical issue. This is increasingly important for induction generators, due to their growing size and number. Several computer softwares exist to carry out their dynamical simulations. This paper focuses on the use of DigSILENT Power Factory software to study the effect of crow bar resistance on the FRT capability of DFIG . More »»

2014

Journal Article

Dr. Anju Pillai S. and T.B., I., “Ec-A: A task allocation algorithm for energy minimization in multiprocessor systems”, International Journal of Computer, Information Science and Engineering, World Academy of Science, Engineering and Technology, vol. 8, pp. 254-260, 2014.[Abstract]


With the necessity of increased processing capacity with less energy consumption; power aware multiprocessor system has gained more attention in the recent future. One of the additional challenges that is to be solved in a multi-processor system when compared to uni-processor system is job allocation. This paper presents a novel task dependent job allocation algorithm: Energy centric- Allocation (Ec-A) and Rate Monotonic (RM) scheduling to minimize energy consumption in a multiprocessor system. A simulation analysis is carried out to verify the performance increase with reduction in energy consumption and required number of processors in the system. More »»

2014

Journal Article

N. R. and N., K., “Design and implementation of digital stethoscope with heart defect detection algorithm”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 3, pp. 1-10, 2014.[Abstract]


This paper presents real time heart defect monitoring and heart sound hearing system. The purpose of this work is to design and implement a digital stethoscope which acts as a platform to detect cardiac murmurs. Digital stethoscope is used to help doctor in analyzing the heart condition and to reduce the risk of not discovering certain abnormal heart conditions. The system design comprises of a traditional stethoscope with an electrets condenser microphone, pre-processing circuit and TMS320C5515 Digital Signal Processor kit. The heart sound signal from the pre-processing circuit is acquired and sent to TMS320C5515 using the audio codec input. The heart sound signal acquired is subjected to signal processing methods such as acoustic noise cancellation algorithm and heart defect detection algorithm. Noise cancellation algorithm is used to remove the noise from the heart sound signal acquired. Finally using the heart defect detection algorithm heart sounds can be classified as normal or abnormal heart sound. More »»

2014

Journal Article

L. R.R., Gowtham, K., Sudeepth, V., and Shankar, R., “Frequency based demand management system in residential context”, Bonfring International Journal of Industrial Engineering and Management Science, vol. 4, no. 2, pp. 57-61, 2014.[Abstract]


Electric utilities are forced to adopt load shedding during peak periods due to increase in demand by fast growing industries. Under peak period, the proposed Frequency Based Demand Management System, switch off all the low priority loads, while operating the deferrable loads based on environmental condition. The system also manages the operation of storage unit between Demand Management (DM) and Uninterruptible Power Supply (UPS) mode. The proposed Demand Management System (DMS) manages all the controllable loads and storage unit of the consumer based on system and environmental condition, thereby maintaining the system frequency. The system gives more convenience to the consumers and also relieves the utility from the bottleneck More »»

2014

Journal Article

Dr. Oruganti Venkata Ramana Murthy and Goecke, R., “Uc–hcc submission to thumos 2014”, THUMOS Challenge: Action Recognition with a Large Number of Classes, 2014.[Abstract]


We basically use a Bag-of-Words framework. We compute the improved dense trajectories to compute Fisher vectors that serve as features. Using the training videos, we compute a mapping function which we conjecture to contain the principal information about each action. Given a temporally untrimmed video, we project it’s feature along this mapping. The transformed features are passed to 1-vs all SVM classifiers framework to get the prediction score of each actions in the given video clip. More »»

2014

Journal Article

Dr. Anju Pillai S. and Isha, T. B., “Regular paper Dynamic Frequency Scaling Based Energy Consumption Reduction for Power-aware Embedded Systems-A Simulation and Experimental Approach”, J. Electrical Systems, vol. 10, pp. 36–47, 2014.

2013

Journal Article

Da Kavitha, Alex, Nb, and Nambiar, T. N. Pc, “Classification and study on factors affecting partial discharge in cable insulation”, Journal of Electrical Systems, vol. 9, pp. 346-354, 2013.[Abstract]


To investigate the Partial Discharge (PD) inside the solid insulation a MATLAB based Simulink model has been developed in this work. The fuzzy classification technique has been used for the classification of apparent charge due to PD activity. The model is used to study the effect of applied voltage, different void sizes and different insulation materials on Partial Discharge. It is found that with the increase in applied voltage and void size there is significant increase in the apparent charge. Also apparent charge changes with the different insulating materials. It establishes the fact that Partial Discharge activity in insulation highly depends upon certain factors like applied voltage, size of the void and dielectric constant of insulation material. © JES 2013.

More »»

2013

Journal Article

Ma Sankaralingam, Arya, Sb, and Das, Aa, “Designing a perception based anti-aliasing filter for enhancement of down-sampled images”, Lecture Notes in Electrical Engineering, vol. 221 LNEE, pp. 121-130, 2013.[Abstract]


In this paper, the problem of aliasing due to pixel based image down-sampling in CMYK color space is addressed. Such a problem exists when a high-resolution image or video is to be mapped to low-resolution. Signal processing theory tells us that optimal decimation requires low-pass filtering with a suitable cutoff frequency, followed by down-sampling which remove many useful image details blurring. Instead of operating in the entire image, the proposed method finds the edge maps and then applies anti-aliasing filters only on the edge map regions excluding the horizontal and vertical edges. The algorithm shows a significant reduction of the aliasing artifacts, commonly known as "jaggies". Perceptual relative color dominance which is calculated from psycho visual experiments is included in the anti-aliasing part to improve the performance of the algorithm. The number of color quantization levels is varied separation by separation for each color channel and psycho visual survey is conducted to find the perceptual color dominance. © 2013 Springer.

More »»

2013

Journal Article

Ra Krishna, Svensson, Oa, Rahm, Ma, Kottayil, S. Kb, Waters, Ra, and Leijon, Ma, “Analysis of linear wave power generator model with real sea experimental results”, IET Renewable Power Generation, vol. 7, pp. 574-581, 2013.[Abstract]


This study presents the dynamic modelling of a linear permanent magnet generator for extracting energy from ocean waves. Translator position, calculated from measured generator voltage, is used as input for the simulation model. Instantaneous power from the simulation model has been compared with the measurements from the Lysekil research site. The power output from the model considering the air gap flux variation is precisely matching with the measured values before core saturation. The generator dynamic model is modified by including the saturation effect. Although a simple mathematical expression is considered for representing the saturation, the model gives accurate power spectrum close to the experimental results. The presented model is a first step towards the system model that can simulate the entire electric system including electric grid. As such, the generator model can be used for further analysis of the wave energy conversion system. © The Institution of Engineering and Technology 2013.

More »»

2013

Journal Article

P. Supriya and Nambiar, P., “Integrated Kalman-independent component analysis method for harmonic current estimation on an interconnected four bus simulated and laboratory model”, International Journal of Emerging Electric Power Systems, vol. 13, 2013.[Abstract]


Wide use of non-linear loads results in harmonic propagation throughout the entire power system. The harmonics generated in the power system by the harmonic injection buses need to be properly measured and quantified using minimal information about the power system network. Independent Component Analysis (ICA) provides several algorithms for harmonic state estimation, some of which are more accurate at specific harmonic frequencies. In this paper, the best ICA algorithm for steady state performance (i.e. the algorithm with the least error) is chosen and the resulting mixing matrix is processed by a Kalman Filter which functions as an optimal estimator. The harmonic state estimation is implemented on a simulated four bus system and a laboratory four bus model is also wired and the results of the work are presented. © 2012 De Gruyter. All rights reserved.

More »»

2013

Journal Article

Dr. Vijaya Chandrakala K. R. M., Balamurugan, S., and K, S., “Variable structure fuzzy gain scheduling based load frequency controller for multi source multi area hydro thermal system”, International Journal of Electrical Power & Energy Systems, vol. 53, pp. 375–381, 2013.[Abstract]


In this paper, variable structure fuzzy gain scheduling is proposed for solving the load frequency control problem of multi source multi area hydro thermal power system. The two control areas are connected via tie line. Each area comprises of both hydro and thermal power plant. The area frequency and tie line power oscillates during load variations are controlled by primary governor controller and secondary Proportional Integral (PI) controller. The PI controller gains are tuned using Ziegler Nichols’ (ZN) method and Genetic Algorithm (GA). ZN method is for conventional bench marking and GA is based on search in the space. In both the methods, the gain values of PI controllers are fixed for any system changes and it is not acceptable. This problem is overcome by scheduling the gain based on system changes using Fuzzy Logic. Finally, Variable Structure System of switching P to PI controller during transient to steady state is integrated with fuzzy gain scheduling. On evaluating all the controller performance based on performance indices, variable structure fuzzy gain scheduling provides better response for multi source multi area hydro thermal power system.

More »»

2013

Journal Article

S. Selva Kumar, Dr. Balamurugan S., and R. Joseph Xavier, “Development of Controller for Parallel Operation of Gas Turbine Plants”, Electric Power Components and Systems, vol. 41, no. 1, pp. 100–109, 2013.[Abstract]


Gas turbines are used in biomass plants for energy conversion. An effective control scheme is required for optimal performance during parallel operation. In this article, an optimal proportional-integral-derivative controller is developed for isolated operation. The gas turbinesare then connected in parallel, and an effective control scheme is developed for their paralleloperation. The response of the gas turbine plants with a proportional-integral-derivative controllerin parallel operation shows improved performance.

More »»

2013

Journal Article

V. Vanitha, Dr. Radhika N., and Mohan, M., “Implementation of Network Coded Wireless Transmission Scheme for Smart Grids Applications”, International journal on innovative research in electrical, electronics, instrumentation and control engineering, vol. 1, no. 7, 2013.[Abstract]


Network Coding' is the proven technology used in internet data transfer and satellite communications, which can use the available bandwidth to the maximum as well as ensure data security. In this paper, the concepts of Network Coding is implemented and tested for Smart Grid applications using the wireless protocols namely Zigbee, Bluetooth and Wifi. The performance parameters were studied for each protocol by transmitting multiple data packets stored in a database.
Further, an algorithm is developed to run at the destination end which determines, from the data it has received, whether the load demand exceeds the generation or there is a surplus of generated power available. This was demonstrated using Wi-Fi protocol.

More »»

2013

Journal Article

Dr. Sindhu M. R., Nair, M. G., and Nambiar, T. N. P., “Development of LabVIEW Based Harmonic Analysis and Mitigation Scheme with Shunt Active Filter for Power Quality Enhancement”, International Journal of Recent Technology and Engineering, vol. 2, no. 5, 2013.[Abstract]


Power quality issues, their modeling and mitigation techniques are became hot research topics soon after the introduction of solid state devices in power system. These nonlinear loads, power electronics based ASDs, UPSs are used in industries in large numbers for smooth operation and control. These equipment also introduce power quality issues such as harmonics, reduction in power factor, voltage unbalance, transients etc. These issues cause malfunction or damage of power system equipments. In this paper, harmonics and reactive power are considered as major issues and shunt active power filter is used for compensation. Three phase thyristor converter fed resistive load is considered as test system in this work. Different methods of harmonic analysis and mitigation techniques are surveyed by the author. In this paper, harmonic analysis of source current at the point of common coupling is done using LabVIEW based harmonic analyser, and the reactive and harmonic components of the source current are separated with the help of LabVIEW based intelligent control software. It also generates the switching signals to control voltage source inverter, used as active filter. Simulation and experimental studies using LabVIEW based control system shows the satisfactory performance More »»

2013

Journal Article

Dr. Anju Pillai S. and A., D., “Web-Based Real Time Data Acquisition And Interactive Control Of Appliances Using Ethernet Connectivity”, International Journal of Electrical and Electronics Engineering Research, vol. 3, pp. 39-46, 2013.[Abstract]


Revolution in the technology helps to increase the living standards of human life and building automation technology has a significant contribution to this advancements. The concept of internet of things binds the object around, to the web world to facilitate the remote access and control. This paper presents sharing of real time data over the internet and enable interaction and control of the device from remote location. A stand alone web server is developed using LM3S8962 stellaris family microcontroller with inbuilt ethernet controller and Light weight Internet Protocol (LwIP) stack is ported, to facilitate the supervision of home appliance. A Graphical User Interface (GUI) developed using web technologies provide an effective user interaction. The functionality of the prototype system is checked and verified. More »»

2013

Journal Article

Dr. Anju Pillai S. and B., I. T., “Factors Causing Power Consumption in an Embedded Processor - A Study”, International Journal of Application or Innovation in Engineering & Management, vol. 2, pp. 300-306, 2013.[Abstract]


Processors are the computing elements of most of the embedded systems. To cater the increased performance demand, more and more transistors are fused into a single chip, which indirectly accelerates the power consumption of the system. Most of the embedded systems are portable battery powered systems. The usefulness of the system depends on the battery life, which is determined by the power consumption of the entire system. This paper presents a detailed study on the factors that influence and cause power consumption of an embedded processor/controller. The knowledge about the elements that influence the processor functioning leading to power consumption, is vital to devise newer mechanisms for power consumption reduction. The main parameters and issues that have an impact on the power consumption of an embedded processor is also discussed More »»

2013

Journal Article

P. Supriya and Nambiar, T. N. Padmanabha, “Performance evaluation of harmonic current estimation using independent component analysis”, Journal of Electrical Engineering, vol. 13, pp. 14-21, 2013.[Abstract]


An augmented use of non-linear loads results in generation of harmonics, which is difficult to estimate in electric power systems. Using, Independent Component Analysis (ICA) methods like fastICA (FICA)the harmonic currents can be estimated without the knowledge of the topology of the system, particularly when the probability distribution of majority of the harmonic sources is non-gaussian. A typical scenario with all the harmonic sources close to Gaussian is considered and hence efficient variant fastICA (EFICA) algorithm is attempted in the paper. A harmonic state estimation using ICA is implemented on an IEEE 14 bus system and on a laboratory three bus model. A performance evaluation between the two methods of ICA for harmonic current estimation is done in the form of recording and evaluating the infinitesimal error that exists between the actual and estimated harmonic currents for the two interconnected bus systems. The graphical results of both the systems for the two methods also point to the superior performance of EFICA algorithm. More »»

2013

Journal Article

T. Ananthan and Vaidyan, M. V., “A Reconfigurable Parallel Hardware Implementation of the Self-Tuning Regulator”, ACM Trans. Reconfigurable Technol. Syst., vol. 6, pp. 14-21, 2013.[Abstract]


The self-tuning regulator (STR) is a popular adaptive control algorithm. A high-performance computer is required for its implementation due to the heavy online computational burden. To extend STR for more real-time applications, a parallel hardware implementation on a low-cost reconfigurable computer is presented. The hardware was incorporated with multistage matrix multiplication (MMM) and trace technique to enhance the processing speed. This design was deeply pipelined to achieve high throughput. The algorithm was prototyped on a Xilinx field-programmable gate array (FPGA) device with a maximum operating frequency of 210.436 MHz. Application-specific integrated circuit (ASIC) implementation of STR was reported. More »»

2013

Journal Article

T. .Ananthan and .V.Vaidyan, M., “FPGA-based parallel architecture for PID control algorithm and HDL co-simulation”, Inderscience- International Journal of embedded systems, vol. 5, pp. 239 – 247, 2013.[Abstract]


This paper aims to describe a dedicated high throughput parallel architecture for digital proportional-integral-derivative (PID) controller along with its field programmable gate array (FPGA) and application specific integrated circuit (ASIC) implementations. The processing speed of the controller depends on design of arithmetic units. In this context, this design incorporates parallel multipliers and a parallel adder to enhance the processing speed. This design is deeply pipelined to achieve high throughput. The algorithm is prototyped on Xilinx FPGA and implemented in 180 nm technology using cadence RTL complier. The performance of the controller is analysed by the results from a dc-dc buck converter control system through hardware descriptive language (HDL) co-simulation. Electronic design automation (EDA) simulator link interacts with hardware and software in MATLAB/Simulink environment and in this environment the response of the buck converter control system prior to hardware implementation is shown. More »»

2013

Journal Article

S. R. Nandha Kishore and .Vanitha, V., “Wind speed forecasting for grid code compliance”, Journal of Renewable and Sustainable energy, 2013.[Abstract]


The wind power producers in India are obliged to give a forecast of their power in advance as per Indian Electricity Grid Code 2010 (IEGC). This work explores Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to forecast the average hourly wind speed. To obtain ANFIS that best suited the wind speed forecasting system, several ANFIS models were trained, tested, and compared. The results for the short term wind speed forecast using the available data have been studied. A typical Supervisory Control and Data Acquisition (SCADA) system is modeled to transfer data to a forecasting system in the host computer loaded with ANFIS and also to communicate the output to the State Load Dispatch Centers (SLDC). With the constraints of data and computation capability, the proposed wind speed forecast work is expected to deliver better wind power forecast results, when the required inputs are given. The presented work deals with the methodology which can be used by the Wind power producers with appropriate facilities and tools on a larger scale. More »»

2013

Journal Article

V. Vanitha and Badrinath, R., “Synchrophasors in power system”, International Journal of Engineering Research, vol. 2, pp. 269-27, 2013.

2013

Journal Article

V. Vanitha and R. kishan, A., “Artificial neural network based static VAR compensator for voltage regulation in a five bus system”, International Journal of Engineering and Innovative Technology, vol. 3, pp. 265-273, 2013.[Abstract]


This paper aims at voltage regulation at all buses in a five bus system for varying load conditions and power factors by using Static VAR Compensator(SVC). The load flow analysis by Newton Raphson method is done for the five bus system using ETAP software with and without compensation system. From the results, voltages at load buses, total active and reactive powers are taken and given as inputs to the Artificial Neural Network (ANN). The switching of Thyristor Switched Capacitors (TSC), Thyristor Controlled Reactor (TCR) and the firing angle for the TCR are given as reference output to the ANN. The ANN is trained with the load flow results which are given as inputs and target outputs. After testing, the entire ANN including weights are implemented in dsPIC30F4011. The switching of the TSC and TCR, which are the outputs of ANN are shown by the glowing of LEDs under varying load conditions and power factors. The hardware setup is made for voltage regulation in a single phase Induction motor for varying load conditions using TCR and Fixed Capacitor (FC). The firing pulses for the TCR is provided for varying load conditions from dsPIC. More »»

2013

Journal Article

V. .Vanitha, .Vandhana, K., .Chandhana, P., .Kalaivani, M., and .Abhinaya, M., “Green Energy Home”, International Journal of Scientific & Engineering Research, vol. 4, pp. 879-885, 2013.

2013

Journal Article

R. V. Pillay, Asmy, N. R. Anisha, and Vanitha, V., “Issues in Wind electric distribution system and different mitigation methods-A perspective view”, International Journal of Scientific and Engineering Research, vol. 4, no. 12, 2013.[Abstract]


Wind energy is one of the fastest-growing sources of electricity in India and around the world since it is economical, clean and abundant.There are two major types of wind gen-erators, which are commonly used in wind farms. The first one is the squirrel cage induc-tion generator while the second is doubly fed induction generator. In this, squirrel cage induction generator is widely used due to its low cost, low maintenance rate and possible utilization under wind gusting conditions. But wind farms with induction generators while generating real power, consume reactive power. Due to grid faults, the over speed of the induction generator resulted from transient currents drawn by the induction generator from the electrical power system can exceed the stability limit resulting in collapse of the system and islanding operation. Thus operators worldwide have developed new grid codes to integrate this form of generation. One important aspect of the problem is the low-voltage ride-through capability of wind generators. This paper gives a complete re-view of the power quality issues when using wind electric generators and different meth-ods that are being used to mitigate these problems till date. More »»

2013

Journal Article

Dr. Oruganti Venkata Ramana Murthy, Roy, S., Narang, V., Hanmandlu, M., and Gupta, S., “An approach to divide pre-detected Devanagari words from the scene images into characters”, Signal, Image and Video Processing, vol. 7, pp. 1071–1082, 2013.[Abstract]


A methodology to segment the Devanagari words, extracted from the scene images, into characters is presented. Scene images include street signs, shop names, product advertisements, posters on streets, etc. Such words are prone to multiple sources of noise and these make the segmentation very challenging. The problem gets more complicated while developing the text recognition methodologies for different scripts because there is no general solution to this problem and recognizing text in some scripts can be tougher than in others. An indigenous database is created for this purpose. It consists of 130 samples, manually extracted from 200 natural scene images. The results obtained by applying the proposed techniques are encouraging. The average performance is found to be 55.77 {%}. The execution time for a typical word of size 1169 × 353 is found to be 4.76 s. The database and the results can serve as baseline for the future researchers. More »»

2013

Journal Article

Roopa R. and Lekshmi R. R., “Implementation of Grid Interface for Generation Side Power Management”, International Journal of Engineering Research and Technology (IJERT), vol. 1, no. 3, 2013.

2013

Journal Article

Dr. Sindhu Thampatty K.C. and Raj, P. C. Reghu, “A Robust Dlqg Controller for Damping of Sub-synchronous Oscillations in a Series Compensated Power System”, International Journal of Research in Engineering and Technology, vol. 02, no. 4, pp. 724-740, 2013.[Abstract]


This paper investigates the use of Discrete Linear Quadratic Gaussian (DLQG) Compensator to damp sub synchronous oscillations in a Thyrisor Controlled Series Capacitor (TCSC) compensated power system. The study is conducted on IEEE First Benchmark Model (FBM) in which, TCSC is modelled as a discrete linear time-invariant modular unit in the synchronously rotating DQ reference frame. This modular TCSC is then integrated with the Linear Time Invariant (LTI) model of the rest of the system. The design of DLQG includes the design of a Kalman filter for full state estimation and a full state feedback for control. Since the order of the controller is as large as the order of the system considered here(27 states), the practical implementation of the controller is difficult. Hence by using Hankels norm approximation technique, the order of the controller is reduced from 27 to 15 without losing the significant system dynamics. The eigen analysis of the system shows that the use of DLQG can damp torsional oscillations as well as the swing mode oscillations simultaneously, which is practically difficult for a conventional sub-synchronous damping controller. The performance of the system with DLQG is appreciable for all operating conditions and it shows the robustness of the controller.

More »»

2012

Journal Article

P. Supriya and Nambiar, T. N. Padmanabha, “Blind signal separation based harmonic voltage/current estimation in an interconnected power system- a comparative study”, International Journal on Electrical Engineering and Informatics, vol. 4, pp. 426-434, 2012.[Abstract]


The extensive use of non linear loads results in proliferation of voltage and current harmonics in an interconnected power system. Harmonic estimation without the information on the topology can be done using Independent Component Analysis(ICA). In this work, the time structured ICA algorithms - Fast ICA (FICA), Joint Approximate Diagonalisation of Eigen Matrices (JADE) and Entropy Bound Minimisation (EBM) are employed for harmonic voltage and current estimation by applying the principle of superposition. These algorithms are implemented on a IEEE 14 bus system. The Spearman's coefficient and the concurrent deviation method of correlation coefficient are formulated for performance comparison. However, when FICA is integrated with weight adjusted second order blind identification technique(WASOBI) resulting in FIWAS algorithm superior performance for estimating the even harmonics and other conventional harmonic frequencies is observed.

More »»

2012

Journal Article

Aa Vijayakumari, Devarajan, A. Ta, and Devarajan, Nb, “Design and development of a model-based hardware simulator for photovoltaic array”, International Journal of Electrical Power and Energy Systems, vol. 43, pp. 40-46, 2012.[Abstract]


This paper presents a model based hardware simulator to emulate a photovoltaic (PV) array/module for all operating conditions. For making the model accurate the values of manufacturer dependent parameters pertaining to a PV array are extracted from the published data sheet of the array by a curve fitting based extraction technique. The proposed simulator consists of a microcontroller controlled switched mode DC-DC converter. The mathematical model of the PV array is embedded in the controller with provisions for the user to enter the required ambient conditions. A feedback compensator is implemented to achieve fast response and good stability and to minimize the steady-state error. As a test case to design, develop and test for compliance the published data of 115 W solar panel Shell S115 has been used. The prototype is tested for steady-state and transient conditions. The experimental results of the simulator are presented. The results are compared with the cell characteristics available in literature and compliance is confirmed. © 2012 Elsevier Ltd. All rights reserved.

More »»

2012

Journal Article

P. Supriya and Nambiar, T. N. Padmanabha, “Blind signal separation of harmonic voltages in non-linear loads”, Journal of Electrical Systems, vol. 8, pp. 433-441, 2012.[Abstract]


Extensive use of non linear loads like arc furnace and PWM Inverters generate considerable voltage harmonics. These harmonics need to be estimated and quantified using minimum knowledge about the topology of the system. Blind Signal Processing Techniques like Fast ICA (FICA), Joint Approximate Diagonalisation of Eigen Matrices (JADE) and Entropy Bound Minimisation (EBM) are applied for harmonic voltage estimation in a simple four bus system. Conventional ICA algorithms like FICA and EBM algorithm break down when only the arc furnace load contributes to the harmonics in the power system. An algorithm termed as FICOMB which is a combination of Fast ICA and COMBI is employed for harmonic voltage estimation. The graphical results and error indices of a simple four bus system indicate that FICOMB and JADE are suitable for harmonic frequencies like h = 3 and EBM is suitable for h = 5.The primary objective of the present work is to use the estimation further for either the design of mitigation equipment or for identifying the perpetrators of harmonics with accuracy being more significant for both the applications. This calls for an optimal estimator to choose a definite algorithm for a particular frequency.© JES 2012.

More »»

2012

Journal Article

Dr. Kirthiga S. and Dr. Jayakumar M., “Performance and capacity analysis of MIMO system at 5 GHz and 60GHz in indoor environment”, WSEAS Transactions on Communications, vol. 11, pp. 415-426, 2012.[Abstract]


The Millimeter Wave (MMW) band much useful for wireless indoor communications as it offers a large amount of license free spectrum. Blockage by walls and furniture limits the range indoors, the link range for indoors being 10m and outdoors 100m in the case of spatial reuse. The idea of dual-band integration of 5GHz/60GHz conceived by IST-Broadway is considered. The physical link layer throughput achievable in 5GHz would be limited by the available bandwidth while the huge bandwidth available for 60GHz would make it feasible for multi-gigabit link. Spatial multiplexing can offer large capacity gains if the spatial correlation is low. In this work, MIMO channel for 5 GHz and 60 GHz is modeled and the channel capacity is determined. The Triple Saleh Valenzuela model (desktop environment) is chosen as suitable channel model for Millimeter Wave while IEEE 802.11n channel model B (small offices) is chosen for 5GHz. The power delay profile obtained on simulation gives the Rician factor and the RMS delay spread indicating multipath fading and timedispersive channel. The performance is analysed with respect to bit error rate (BER) for various antenna configurations with transceiver distance of 3m. Consideration of Line -of-Sight (LOS) component shows reduced BER in lower Eb/No range of 1 to 4 dB for 60 GHz compared to 5 GHz radio. This result makes MMW suitable for integration with 5 GHz, whose link is weak for short range communication. The bit error rate (BER) is compared for 2x2, 4x4, and 8x8 for different equalization techniques namely Zero Forcing (ZF), Maximum Likelihood (ML) and Minimum Mean Square Error (MMSE) for the two cases, which in turn had reinforced the fact of better performance of MMW. ML detection offers optimal error performance for 60 GHz. The channel capacity is found to be 2 Gbps for 60GHz and 600 Mbps for 5GHz. The link budget for MMW is also analyzed.

More »»

2012

Journal Article

Dr. Vijaya Chandrakala K. R. M., Dr. Balamurugan S., and Sankaranarayanan, Kb, “Development of variable structure fuzzy gain scheduling controller for an interconnected power system”, International Review on Modelling and Simulations, vol. 5, pp. 2228-2234, 2012.[Abstract]


This paper investigates on enhanced Load Frequency Control of two-area hydrothermal power plant when subjected to unit step load disturbance. The frequency and tieline power deviations are controlled using conventional Proportional and Integral controller tuned using Zeigler Nichols' method. By switching the controller action during transient and steady state period using Variable Structure System, the performance is improved. Fuzzy Gain Scheduling further improves the system performance by changing the proportional and integral gain according to the variations in the power plant. Finally, Variable Structure Fuzzy Gain Scheduling Controller is developed by integrating Fuzzy in Variable Structure System Controller resulting better controller action during transient and steady state period. The performance of these controllers is judged using Integral Time Absolute Error and Integral Time Squared Error techniques. © 2012 Praise Worthy Prize S.r.l. - All rights reserved.

More »»

2012

Journal Article

Dr. Vijaya Chandrakala K. R. M., Dr. Balamurugan S., and Sankaranarayanan, Kb, “Genetic algorithm tuned optimal variable structure system controller for enhanced load frequency control”, International Review of Electrical Engineering, vol. 7, pp. 4105-4112, 2012.[Abstract]


In this paper, the Load Frequency Control (LFC) is enhanced with optimal gains of the Variable Structure System (VSS) Controller tuned using Genetic Algorithm (GA). For analysis, two-area thermal and hydrothermal power plants are considered in this paper. Conventionally, Proportional Integral Derivative (PID) controller is used to control frequency and tie-line power deviations. To improve the PID control action during transient and steady state period, the PID controller is replaced by VSS Controller. The gains of the controllers are tuned using Zeigler Nichols' (ZN) and further with GA optimization technique. The performance of the controller is judged using Integral Time Absolute Error (ITAE) method. On analysis, it is observed that frequency and tie-line power deviations are improved using GA tuned VSS controller. © 2012 Praise Worthy Prize S.r.l. - All right reserved.

More »»

2012

Journal Article

P. Supriya and Nambiar, T. N. Padmanabha, “Review of harmonic source identification techniques”, International Review of Electrical Engineering, vol. 7, pp. 4525-4531, 2012.[Abstract]


In a deregulating power scenario, harmonic source detection assumes significance in an interconnected power system. Literature proposes single point methods and multipoint methods as the two main techniques of harmonic source identification. This paper provides a detailed survey of these two methods along with their primary merits and demerits. With accuracy as the main criterion, it is concluded that the multipoint methods using harmonic state estimation are better suited for harmonic source determination and the harmonic estimation thereof. However, in a deregulating environment without sufficient information on the topology of the power system, correct harmonic source identification methods are essential and investigations in this regard assumes great significance. © 2012 Praise Worthy Prize S.r.l. - All rights reserved.

More »»

2012

Journal Article

Dr. Vijaya Chandrakala K. R. M., Dr. Balamurugan S., and Sankaranarayanan, K., “Damping of tie-line power oscillation in interconnected power system using variable structure system and unified power flow controller”, Journal of Electrical Systems, vol. 8, pp. 85-94, 2012.[Abstract]


This paper focuses on systematic approach towards damping the tie-line power oscillations in an interconnected thermal power plant using Unified Power Flow Controller (UPFC) with Variable Structure System (VSS) Controller. Conventionally, Automatic Generation Control (AGC) is carried out by primary governor control and secondary Proportional-Integral (PI) controller. PI controller helps to damp out tie-line power and frequency oscillations when subjected to unit step load disturbance. Ziegler Nichols' (ZN) method is used in tuning the gains of conventional PI controller and VSS controller. Optimal switching of VSS controller is carried out by the performance indices. UPFC based damping controller helps to stabilize the tie-line power oscillations of power system. The simulation indicates reduced frequency and tieline power transient with much faster settling time is obtained by using UPFC along with secondary VSS controller. © JES 2012.

More »»

2012

Journal Article

P. Supriya and Nambiar, T. N. Padmanabha, “Noise based Independent Component Analysis model for harmonic current estimation”, Advanced Materials Research, vol. 433-440, pp. 2551-2555, 2012.[Abstract]


In a deregulating environment, Independent Component Analysis (ICA) is used to estimate the harmonic currents of non linear loads as it does not require information about the topology of the network. However, analysis is done by ignoring the effect of various noises that creep into the measurement system. In the present work, the effect of environmental noise on a simple interconnected power system with five buses is taken up. The two algorithms namely Fast ICA (FICA) and Efficient Variant Fast ICA(EFICA) are used for the analysis. A fixed noise is added and it is eliminated using whitening technique The simulation results of both algorithms show that noise elimination by whitening technique is highly successful. However, EFICA gives better results than FICA when random fluctuations of load exist rather than when fixed variations exist. © (2012) Trans Tech Publications, Switzerland.

More »»

2012

Journal Article

Ma Akhil, Anand, MbKrishna, Sreekumar, Ab, and Hithesan, Pb, “Simulation of the mathematical model of a quad rotor control system using Matlab Simulink”, Applied Mechanics and Materials, vol. 110-116, pp. 2577-2584, 2012.[Abstract]


Quad rotor vehicles are gaining prominence as Unmanned Aerial Vehicles (UAVs) owing to their simplicity in construction and ease of maintenance. They are being widely developed for applications relating to reconnaissance, security, mapping of terrains and buildings, etc. The control of the quad rotor is a complex problem. As a precursor to developing a model based design, the simulation of the mathematical model of the quad rotor is implemented. This will facilitate easier implementation of the model based design using Matlab Simulink. © (2012) Trans Tech Publications, Switzerland.

More »»

2012

Journal Article

N. Surasmi and Dr. Sindhu M. R., “Optimum Allocation of Active Filters In A 4-Bus System Using Genetic Algorithm”, International Journal of Emerging Technology and Advanced Engineering, vol. 2, 2012.[Abstract]


Active power filters (APF) are employed for harmonic compensation in power systems. In this work genetic algorithms (GA) are used for the selection of optimum location of Active filters in power system. The purpose of the genetic algorithm is to minimize the cost of harmonic filters and, at the same time, to reach the harmonic limitations defined by standard IEEE-519. This algorithm is applied to 4-bus interconnected network for fixed harmonic load conditions. The control strategies selected to develop objective function are total harmonic distortion of voltage and current, telephone interference factor of voltage and current, harmonic transmission line loss and active filter current. More »»

2012

Journal Article

Dr. Anju Pillai S. and , “Minimal Task Allocation in Multiprocessors using improved next-fit for RM scheduling”, International Journal of Computer Applications, vol. 47, pp. 39-44, 2012.[Abstract]


Task-processor allocation in multiprocessors can be accomplished efficiently for reducing the required number of processors for the given task set, accounting reduced power consumption with maximum processor utilization. This work is based on next fit algorithm using Rate Monotonic Algorithm (RMA) for a fixed priority system. The work proposes a minimal task allocation algorithm for multiprocessor environment. The proposed method reduces the number of processors required for a given task set using improved next fit algorithm and the same has been evaluated and tested. The proposed algorithm gives better results when there is large number of tasks in the system More »»

2012

Journal Article

Dr. Bala Tripura Sundari B., “Design Space Exploration of Deeply Nested Loop 2-D Filtering and 6-level FSBM Algorithms Mapped onto Systolic Array”, The VLSI Design Journal, vol. 2012, 2012.

2012

Journal Article

T. .Ananthan, .V.Vaidyan, M., and Varghese, M. V., “An FPGA-based Controller design for servo actuator using Xilinx System Generator and HDL co-simulator”, STM-Journal of VLSI Design Tools and Technology, vol. 2, pp. 1-6, 2012.[Abstract]


This paper aims at designing a Field programmable gate array (FPGA)-based proportional, integral derivative (PID) controller in a servo-actuated control system. In the conventional method of implementing control systems in FPGA, there is no interaction between the controller and the system except for the final stage of implementing control system in the hardware. The proposed methods provide approaches for analyzing the performance of the controller and system in MATLAB simulink environment prior to the implementation in FPGA. This results in a faster and efficient hardware implementation of digital control system. Two methods developed and used in designing the controller and corresponding simulation results are presented. In addition, a comparative evaluation of the two methods is also discussed. More »»

2012

Journal Article

Dr. Oruganti Venkata Ramana Murthy, Roy, S., Narang, V., and Hanmandlu, M., “Devanagari character recognition in the wild'”, International Journal of Computer Applications, vol. 38, pp. 38–45, 2012.[Abstract]


This papers examines the issues in recognizing the Devanagari characters in the wild like sign boards, advertisements, logos, shop names, notices, address posts etc. While some works deal with the issues in recognizing the machine printed and the handwritten Devanagari characters, it is not clear if such techniques can be directly applied to the Devanagari characters captured in the wild. Moreover in the recent times a lot of research has been conducted in the field of object categorization and localization. It would be interesting to investigate if the state-of-the-art tools for object categorization can also be applied to the recognition of the Devanagari characters. The idea is to view the isolated characters as objects so as to detect them in the wild. The ability to recognize the Devanagari characters in the wild will be very useful in the Internet services like Google street view and its associated applications. So, a detailed study of the Devanagari character recognition using the state-of-the-art character recognition and object recognition tools has been carried out to compute the best performance. This serve as a baseline for the comparison for the future works. There is no benchmark database to conduct studies on the Devanagari character recognition in the wild. So a database of 40 Devanagari character categories has been created from 200 pictures of the images in the wild. More »»

2012

Journal Article

Dr. Oruganti Venkata Ramana Murthy and Hanmandlu, M., “An approach to offline handwritten Devanagari word segmentation”, International Journal of Computer Applications in Technology, vol. 44, pp. 284–292, 2012.[Abstract]


Hindi is very popular language after Mandarin and English. Its script is Devanagari. Although major work is reported on OCR techniques for machine printed Devanagari script, very few works are beginning to report on offline handwritten Devanagari OCR. Particularly, very few works have been reported so far on segmentation of Devanagari words. This paper paves a step in that direction and open avenues for researchers in that field. A novel segmentation approach is proposed for segmentation of offline handwritten Devanagari words using techniques of Hough transform and connected components. The difficulties for segmentation in Devanagari script and systematic steps to accommodate those difficulties as much as possible have been presented with elaborate results. More »»

2011

Journal Article

Dr. Sindhu M. R., Dr. Manjula G. Nair, and Nambiar, T. N. P., “An ANN Based Digital Controller with Three-Phase Shunt Active Power Filter for Power Quality Improvement”, International Review of Electrical Engineering, vol. 6, pp. 2837–2845, 2011.

2011

Journal Article

Va Vanitha and Devarajan, Nb, “Analysis of transient stability margin of a wind farm using squirrel cage induction generator with fixed capacitance compensation”, European Journal of Scientific Research, vol. 59, pp. 370-382, 2011.[Abstract]


Wind energy is one of the most available and exploitable forms of renewable energy. Before the invention of steam engine, wind power had been used for centuries in sailing ships and then for pumping water and grinding grain[1]. In the late 19th century, as electricity was generated using popular sources such as thermal and hydel power, wind energy fell into disfavor. However some countries did not have adequate fuel and water power resources, which led them to look for alternative ways of generating electricity. Denmark was one such country which pioneered the development of wind mills for generation of electricity in 1890s. As the installed capacity of wind power is significant and always increasing, the grid code focuses on the fault ride through capability of wind turbines which means that subsequential disconnection of wind turbine during grid faults is not accepted. In most of the countries, it is required that the Wind Electric Generator(WEG) should not trip for 625ms fault duration[5].When the speed of Squirrel Cage Induction Generator (SCIG) coupled to wind turbine exceeds the permissible upper limit , the protective devices will act in such a way that it trips.With regard to maintaining the short term voltage stability, all grid codes require that the voltage in the transmission power grid is re-established without subsequent disconnection of large wind farms. This chapter analyzes the impact of penetration level and load demand on the transient stability margin of squirrel cage induction generator(SCIG) coupled to wind turbine in the event of any unbalanced or balanced fault in the grid. Simulation is done in MATLAB Simulink and results are presented.

More »»

2011

Journal Article

S. Balamurugan, Dr. Vijaya Chandrakala K. R. M., ,, and Sankaranarayanan, K., “Development of variable structure fuzzy logic controller for enhanced load frequency control”, Journal of Electrical Systems, vol. 7, pp. 297-307, 2011.[Abstract]


This paper presents a new method of Variable Structure Fuzzy Logic Controller applied to Load Frequency Control (LFC) problem. For analysis, thermal, hydro and gas turbine power plants have been considered. To control these plants, the conventional Proportional-ntegral (PI) controller is used for load tracking and frequency regulation. To dominate the proportional controller action during transient period, the PI controller is replaced by Variable Structure System (VSS) controller. Later, the VSS controller is replaced by means of Fuzzy Logic Controller (FLC). Finally, the Variable Structure Fuzzy Logic Controller is developed by integrating the VSS and FLC. On analyzing these various controller actions on the power plants, it is found that Variable Structure Fuzzy Logic Controller yields better transient and steady state response than any other controller for all the power plants. © JES 2011 on-line. More »»

2011

Journal Article

S. Abraham, Sivraj, P., and Pillay, R., “Hardware Implementation of an Improved Resource Management Scheme for Fault Tolerant Scheduling of a Multiprocessor System”, International Journal of Computer Applications (0975-8887), vol. 27, 2011.[Abstract]


Safety-critical systems have to be fault tolerant and also meet stringent temporal constraints. Various redundancy strategies are built into such mission-critical applications to ensure the overall success of the mission. This paper implements a fault tolerant scheduling scheme on a dual processor system, wherein the redundancy is made at the task level. The system continues to function with graceful degradation under failure conditions. The redundancy management employed in the proposed scheme enhances the performance capability of the system. Based on this approach, the scheme is implemented with hardware simulation using LPC-2148 development boards. This simulation when used for implementing any practical safetycritical application can contribute to efficient utilization of computing resources and can prove to be highly cost effective as the number of processors increase. More »»

2011

Journal Article

Dr. Sindhu M. R., S, S., Nair, M. G., and John, G. K., “Implementation of shunt hybrid filter using ICOS algorithm”, Asian Power Electronics Journal, vol. 5, pp. 7 - 12, 2011.

2011

Journal Article

Dr. Anju Pillai S. and Arya, P., “Reduction of Context Switches due to Task Synchronization in Uniprocessor and Multiprocessor Platforms”, International Journal of Computer and Communication Technology, vol. 2, 2011.[Abstract]


The problem of frequent context switches in multitasking is a real scheduling overhead which wastes extra CPU cycles, memory and causes much delay in scheduling. This paper focuses on reducing the context switches that result due to blocking when jobs are required to synchronize. The Priority Ceiling Protocol (PCP) is used to synchronize the tasks in uniprocessor as well as multiprocessor platforms. The jobs are scheduled using Earliest Deadline First (EDF) policy. The simulation results show that the context switches are reduced by about 20% on an average using our technique of avoiding context switches due to blocking. More »»

2011

Journal Article

A. Lekshmi Mohan and Dr. Anju Pillai S., “Dynamic voltage scaling with reduced frequency switching and preemptions”, International Journal of Electrical and Electronics Engineering IJEEE, vol. 1, 2011.[Abstract]


Dynamic Voltage Scaling is an innovative technique for reducing the power consumption of a processor by utilizing its hardware functionality. Dynamic Voltage Scaling processors are mainly focusing on power management. Such processors can be switch between discrete frequency and voltage levels. The main challenges of Dynamic Voltage Scaling are increased number of preemptions and frequency switching. A part of dynamic energy as well as CPU time is lost due to these processes. To limit such processes, an algorithm is proposed which reduces both unwanted frequency switching and preemptions. More »»

2011

Journal Article

Dr. Oruganti Venkata Ramana Murthy and Hanmandlu, M., “Interactive Fuzzy Model Based Recognition of Handwritten numerals”, Journal of Pattern Recognition Research, vol. 6, pp. 154–165, 2011.

2011

Journal Article

Dr. Oruganti Venkata Ramana Murthy and Hanmandlu, M., “Zoning based Devanagari character recognition”, International Journal of Computer Applications, vol. 27, 2011.[Abstract]


In character recognition, zoning based feature extraction is one of the most popular methods. The character image is divided into predefined number of zones and a feature is computed from each of these zones. Usually, this feature is based on the pattern (black) pixels contained in that zone. Some of such features are average pixel density, sum squared distance, histogram. But in such features, say the average pixel density, different combination location of pixels can all give rise to same average pixel density. This often leads to errors in classification. In this paper, a new technique is presented where the pattern pixel location is also taken into account to contribute as much unique feature as possible. The experimental tests, carried out in the field of Devanagari handwritten numeral and character recognition show that the proposed technique leads to improvement over the traditional zoning methods More »»

2011

Journal Article

Dr. Oruganti Venkata Ramana Murthy and Hanmandlu, M., “A Study on the Effect of Outliers in Devanagari Character Recognition”, International Journal of Computer Applications, vol. 32, 2011.[Abstract]


Devanagari is the basic script for many languages of India, including their National language Hindi. Unlike the Latin script used for the English language, it does not have upper case or lowercase. It has only one case of writing. Moreover each alphabet contains more curves than straight lines. Hence handwritten Devanagari character recognition is a challenging task. To capture different handwritten styles of each alphabet, different approaches have been proposed. In this work, we investigate a simple filtering technique on the features. Support Vector Machine (SVM) was used as classifier. It has been applied on two benchmark Devanagari databases and results show an improvement of as much as 5-10%. This improvement is found to be consistent with different sizes of the database. It was studied on pixel density features and GIST features separately. GIST features were found to be more effective and like having the potency of self-containing filtering. More »»

2011

Journal Article

N. G. Greeshma and Dr. Sasi K. K., “Active power control in wind driven variable speed squirrel-cage induction generator”, Bonfring International Journal of Power Systems and Integrated Circuits, vol. 1, p. 56, 2011.[Abstract]


This paper describes active power control in a grid connected variable speed wind electric generation system (WEG) using squirrel cage induction machine. The chosen variable speed WEG system consists of a wind turbine, squirrel-cage induction generator, an AC-DC-AC interface and the power grid. In this work the generator side converter is controlled using vector control of induction machine and the grid side converter is controlled using DC link voltage control. Active power delivered by the WEG to the grid when driven by a wind speed can be controlled, albeit within a limited range, by varying the DC link voltage at the input of the grid side converter. The WEG scheme is simulated using system models in MATLAB-Simulink and the performance is studied. More »»

2011

Journal Article

K. N. Prakash and Govindaraju, S., “Visual Cryptography Scheme for Color Images Using Half Toning Via Direct Binary Search with Adaptive Search and Swap”, International Journal of Electrical Engineering, vol. 3, no. 6, pp. 900-904, 2011.

2011

Journal Article

Dr. Sindhu Thampatty K.C., .P.Nandakumar, M., and P.Cheriyan, E., “Adaptive RTRL based neurocontroller for damping subsynchronous oscillations using TCSC”, Engineering Applications of Artificial Intelligence, vol. 24, no. 1, pp. 60-76, 2011.[Abstract]


Modern interconnected electrical power systems are complex and require perfect planning, design and operation. Hence the recent trends towards restructuring and deregulation of electric power supply has put great emphasis on the system operation and control. Flexible AC transmission system (FACTS) devices such as thyristor controlled series capacitor (TCSC) are capable of controlling power flow, improving transient stability and mitigating subsynchronous resonance (SSR). In this paper an adaptive neurocontroller is designed for controlling the firing angle of TCSC to damp subsynchronous oscillations. This control scheme is suitable for non-linear system control, where the exact linearised mathematical model of the system is not required. The proposed controller design is based on real time recurrent learning (RTRL) algorithm in which the neural network (NN) is trained in real time. This control scheme requires two sets of neural networks. The first set is a recurrent neural network (RNN) which is a fully connected dynamic neural network with all the system outputs fed back to the input through a delay. This neural network acts as a neuroidentifier to provide a dynamic model of the system to evaluate and update the weights connected to the neurons. The second set of neural network is the neurocontroller which is used to generate the required control signals to the thyristors in TCSC. This is a single layer neural network. Performance of the system with proposed neurocontroller is compared with two linearised controllers, a conventional controller and with a discrete linear quadratic Gaussian (DLQG) compensator which is an optimal controller. The linear controllers are designed based on a linearised model of the IEEE first benchmark system for SSR studies in which a modular high bandwidth (six-samples per cycle) linear time-invariant discrete model of TCSC is interfaced with the rest of the system. In the proposed controller, since the response time is highly dependent on the number of states of the system, it is often desirable to approximate the system by its reduced model. By using standard Hankels norm approximation technique, the system order is reduced from 27 to 11th order by retaining the dominant dynamic characteristics of the system. To validate the proposed controller, computer simulation using MATLAB is performed and the simulation studies show that this controller can provide simultaneous damping of swing mode as well as torsional mode oscillations, which is difficult with a conventional controller. Moreover the fast response of the system can be used for real-time applications. The performance of the controller is tested for different operating conditions.

More »»

2010

Journal Article

Dr. Vijaya Chandrakala K. R. M., Dr. Balamurugan S., and Sankaranarayanan, K., “Automatic Generation Control for Hydrothermal Plant with Variable Structure System Controller and Superconducting Magnetic Energy Storage”, Journal of Automation and Systems Engineering, vol. 4, pp. 142–153, 2010.[Abstract]


This paper focuses on controlling the hydrothermal plant using Variable Structure System (VSS) controller and Superconducting Magnetic Energy Storage (SMES) unit. The Automatic Generation Control (AGC) of hydrothermal plants is conventionally done by Proportional-Integral (PI) controller, which yields desired response too. For, further improvement of transient and steady state response, the conventional PI controller is replaced by Variable Structure System (VSS) controller. Ziegler Nichols’ (ZN) method is used in tuning the gains of conventional PI controller and VSS controller. The system response in terms of transient and steady state is much improved while using VSS controller than conventional PI controller. The Superconducting Magnetic Energy Storage (SMES) unit being a frequency stabilizer which helps to damp out frequency oscillations much faster, is used along with the Variable Structure System (VSS) controller for controlling the hydrothermal power plant. The simulation response shows that the hydrothermal system with Variable Structure System (VSS) controller and Superconducting Magnetic Energy Storage (SMES) unit exhibits better frequency and tie line power performance.

More »»

2010

Journal Article

S. S., N Mohankumar, and M Devi, N., “Low Power Hardware Implementation of Color Image Watermarking for Real Time Application”, Advances in Computational Sciences and Technology, vol. 3, no. 3, pp. 259-268, 2010.[Abstract]


The objective of this work is to develop a hardware-based watermarking system to identify the device using which the photograph was taken. The watermark chip will be fit in any electronic component that acquires the images, which are then watermarked in real time while capturing along with separate key. Watermarking is the process of embedding the watermark, in which a watermark is inserted in to a host image while extracting; the watermark is pulled out of the image. The ultimate objective of the research presented in this paper is to develop low-power, high-performance, real-time, reliable and secure watermarking systems, which can be achieved through hardware implementations. In this paper the development of a very large scale integration (VLSI) architecture for a high-performance watermarking chip that can perform invisible color image watermarking using genetic algorithm is discussed and the color image watermarking using LFSR unit is verified and synthesized. The prototyped VLSI implementation of watermarking is simulated with ModelSim and synthesized in Altera Cyclone II Family.

More »»

2010

Journal Article

Dr. Sindhu Thampatty K.C., Nandakumar, M. P., and Cheriyan, E., “RTRL Algorithm Based Adaptive Controller for Non-linear Multivariable Systems”, International Journal of Computer Applications, vol. 1, 2010.[Abstract]


The paper presents a new design of adaptive and dynamic neural network-based controller architecture with feedback connection for non-linear multivariable systems. The network is trained on-line at each sampling interval using the desired output trajectory and the training method used is the Real Time Recurrent Learning Algorithm (RTRL). The recurrent network is a fully connected one, with feedback from output layer to the input layer through a delay element. Since the synaptic weights to the neurons are adjusted on-line, this controller has potential applications in real time control also. Moreover, it can be used for both continuous and discrete systems. The simulation results obtained by applying the algorithm to a non-linear multivariable system demonstrate the effectiveness of the proposed method.

More »»

2009

Journal Article

Dr. Balamurugan S., R Xavier, J., and A Jeyakumar, E., “Control of Heavy-duty Gas Turbine Plants for Parallel Operation Using Soft Computing Techniques”, Electric Power Components and Systems, vol. 37, pp. 1275–1287, 2009.[Abstract]


Gas turbine generators, normally used in isolated operation, require an effective control and design for their parallel operation. Otherwise, the load variations and set-point variations may cause severe stability problems. Soft computing techniques, such as genetic algorithms, artificial neural networks, and fuzzy logic, have been utilized for developing a controller for a gas turbine plant. The proportional-integral-derivative controller is used to control the gas turbine plant because of its versatility, high reliability, and ease of operation. For better performance, the gains of the proportional-integral-derivative controller have been tuned using the Ziegler–Nichols method and genetic algorithm. The artificial neural network and fuzzy controllers are developed, and the performance is compared with the conventional proportional-integral-derivative controller. The results show that the optimal time domain performance of the system can be achieved with the fuzzy logic controller. The fuzzy logic controller removes the steady-state error in less time with no overshoot and oscillation.

More »»

2009

Journal Article

Y. V. Venkatesh, Kassim, A. A., and Dr. Oruganti Venkata Ramana Murthy, “A novel approach to classification of facial expressions from 3D-mesh datasets using modified \PCA\”, Pattern Recognition Letters, vol. 30, pp. 1128 - 1137, 2009.[Abstract]


We propose a novel approach to human facial expression recognition using only the shape information at a finite set of fiducial points, extracted from the 3D neutral and expressive faces. In the course of applying the technique to the facial database, BU-3DFE, which contains facial shape and 2D color (“texture”) information, we extract from the images of neutral and expressive faces, salient contours in the facial interest-regions around the eyebrows, eyes, nose and mouth by invoking an active contour algorithm. The contours are then uniformly sampled and mapped onto the 3D-mesh dataset in order to generate a shape (and color) description of the interest-regions. By a matrix–algebraic operation on the shape of the neutral and expressive faces, a shape feature-matrix is computed for each expression and for each person, which is then subjected to the proposed modified \{PCA\} approach to recognize expressions. Classification results are presented to demonstrate the effectiveness of the proposed approach. It is also found that accuracy estimates compare favorably with those in the literature on facial expression recognition from 3D-mesh datasets. More »»

2008

Journal Article

Dr. Balamurugan S., R Xavier, J., and A Jeyakumar, E., “Application of Genetic Algorithm in Optimal PID Tuning for Heavy Duty Gas Turbine Plant”, Journal of Electrical Systems, vol. 4, p. p33, 2008.[Abstract]


Gas turbine generators are commonly used in isolated operation. These generators may become unstable under severe load fluctuations. To maintain system stability an effective design and control is required. Ziegler-Nichols' method (ZN) and performance index method have been used to design PID controller. Genetic algorithm (GA) is used for finding out the optimal gain values of PID controller. The results show that GA tuned PID controller provides optimal time domain performance of the system.

More »»

2008

Journal Article

Dr. Balamurugan S., R Xavier, J., and A Jeyakumar, E., “ANN Controller for Heavy Duty Gas Turbine Plant.”, International Journal of Applied Engineering Research, vol. 3, pp. 1765 - 1771, 2008.[Abstract]


Gas turbine plants are used for isolated and standalone operations. They are mainly used in oil fields, desert areas, off shore installations and bio gas plants. An effective control strategy is required to keep the system stable under disturbance. The Transfer function model of heavy duty gas turbine has been developed by Rowen [1] based upon his field experience and the tests he conducted in the gas turbine plants. This model has been used in many works such as, the dynamic analysis of combined cycle plant [2], twin shaft gas turbine model [3], combustion turbine model [4] and even in micro turbine power generation [5]. The transfer function simplification has been validated [6]. The droop governor is found to be an appropriate one [7]. The droop setting value and rotor time constant have been optimized [8]. After tuning the parameters, the response of the gas turbine plant shows steady state error. To improve the transient and steady state response, PID controller is required. The parameters of PID controller have been tuned using ZN method and the steady state error is removed. In this paper, Artificial Neural Network is used for control which uses backpropagation algorithm for training. The trained ANN brings back the system to steady state. It is found that ANN controller yields a better response than the conventional PID controller.

More »»

2008

Journal Article

Dr. Balamurugan S., R Xavier, J., and A Jeyakumar, E., “Fuzzy Based Controller for Heavy Duty Gas Turbine Plant”, Journal of Electrical Engineering, vol. 8, no. 4, pp. 61-65, 2008.[Abstract]


Gas turbine generators are normally used in isolated operation. Load fluctuations could cause these generators to become unstable. An effective control and design are required to maintain system stability. The PID controller has been designed using Ziegler-Nichols’ method (ZN) and Genetic Algorithm. The Fuzzy Logic controller is also designed and compared with conventional PID controller. It is shown that by fuzzy logic controller, optimal time domain performance of the system can be achieved.

More »»

2007

Journal Article

Dr. Balamurugan S., R Xavier, J., and A Jeyakumar, E., “Selection of governor and optimization of its droop setting and rotor time constant for heavy-duty gas turbine plants”, Indian Journal of Power and River Valley Development, vol. 57, pp. 35-37, 2007.

2007

Journal Article

M. Hanmandlu and Dr. Oruganti Venkata Ramana Murthy, “Fuzzy model based recognition of handwritten numerals”, Pattern Recognition, vol. 40, pp. 1840 - 1854, 2007.[Abstract]


This paper presents the recognition of handwritten Hindi and English numerals by representing them in the form of exponential membership functions which serve as a fuzzy model. The recognition is carried out by modifying the exponential membership functions fitted to the fuzzy sets. These fuzzy sets are derived from features consisting of normalized distances obtained using the Box approach. The membership function is modified by two structural parameters that are estimated by optimizing the entropy subject to the attainment of membership function to unity. The overall recognition rate is found to be 95% for Hindi numerals and 98.4% for English numerals. More »»

2005

Journal Article

S. Suraneni, Kar, I. N., Dr. Oruganti Venkata Ramana Murthy, and Bhatt, R. K. P., “Adaptive stick–slip friction and backlash compensation using dynamic fuzzy logic system”, Applied Soft Computing, vol. 6, pp. 26 - 37, 2005.[Abstract]


A dynamic fuzzy logic-based adaptive algorithm is proposed for reducing the effect of stick–slip friction and for the compensation of backlash. The control scheme proposed is an online identification and indirect adaptive control, in which the control input is adjusted adaptively to compensate the effect of these non-linearities. A tuning algorithm for fuzzy logic parameters is used to ensure stable performance. The efficacy of the proposed algorithm is verified on a one degree of freedom (1-DOF) mechanical mass system with stick–slip friction and on a one-link robot manipulator with backlash. More »»

2005

Journal Article

H. Basumatary, Sreevalsan, E., and Dr. Sasi K. K., “Weibull Parameter Estimation — A Comparison of Different Methods”, Wind Engineering, vol. 29, pp. 309-315, 2005.[Abstract]


The Weibull probability function is a widely accepted tool to model wind regimes. This paper presents a comparative study of different methods used to estimate Weibull parameters of a wind regime. Five different methods are described and used for the estimation. Time series data of wind speed over a whole year for two sites have been used for the study. The results obtained as a plot of error versus wind speed are similar in all the five methods, yet the method of standard deviation gives the best results. More »»

2004

Journal Article

Dr. Oruganti Venkata Ramana Murthy, Bhatt, R. K. P., and Ahmad, N., “Extended dynamic fuzzy logic system (DFLS) based indirect stable adaptive control of non-linear systems”, Applied Soft Computing, vol. 4, pp. 109 - 119, 2004.[Abstract]


The dynamic fuzzy logic system (DFLS) consists of static fuzzy logic system added with a dynamic element—the integrator—with a feedback constant α. It was shown to possess the important universal approximation capability. Further, Lee and Vukovich developed \{DFLS\} based stable indirect adaptive control scheme via Lyapunov synthesis approach for a class of non-linear systems of the form ẋ=f(X)+bu. In this paper, this is extended so that now, it can be applied to a larger class of non-linear dynamic systems, i.e., of the form ẋ=f(X)+g(X)u. It was successfully investigated on a chaotic system-modified Duffing’s equation. More »»

2004

Journal Article

A. Chakraborty, Saha, P., Acharjee, A., and Dr. Sasi K. K., “Energy conservation in ceiling fans”, Proceedings of the 13th National Power Systems Conference, pp. 835-838, 2004.[Abstract]


The paper deals with energy conversion efficiency of commercial models of ceiling fan. The investigation and the following analysis show that in the tested samples, notwithstanding that the minimum performance standards suggested by BIS are satisfied, the matching between the motor and the rotor blades is not optimal and so there is scope for improving fan system efficacy through design modifications. The paper presents the test results and suggests energy efficient system design. More »»

2004

Journal Article

Dr. Sasi K. K., “Wind Power The Technology Options”, ELECTRICAL INDIA, vol. 44, no. 11, pp. 36-39, 2004.

2004

Journal Article

Dr. Sasi K. K. and Isha, T. B., “Energy Conservation in Industrial Motors”, ELECTRICAL INDIA, vol. 44, no. 4, 2004.

2003

Journal Article

Dr. Sasi K. K., “The Technical Perspective of Wind Power Planning”, ELECTRICAL INDIA, vol. 43, no. 11, 2003.

2002

Journal Article

Dr. Sasi K. K. and Basu, S., “Windfarming in India—the desired policy recast”, Energy, vol. 27, pp. 241 - 253, 2002.[Abstract]


The Indian wind energy programme suffered a recent setback after being placed third in terms of total installed capacity of wind electricity in the world. This paper submits, based on analysis of field performance data, that the falling profitability of private windfarm operation in the country today can hardly attract large scale investment in the private sector. It further suggests that a right choice of wind electric generators with an optimum rated wind speed will improve the windfarm performance. The steps to be adopted by the government agencies in order to ensure the desired growth of the wind industry in the country have also been suggested. These in turn invite certain changes in the present windfarm development policy of the country. More »»

2000

Journal Article

Dr. Sasi K. K. and Basu, S., “Review of Wind Energy Commercialisation in India”, Wind Engineering, vol. 24, no. 2, 2000.[Abstract]


Sustainability of a power scheme is decided by viability of the technology, adaptability for integration into existing infrastructure, economic competence and environmental acceptance. The 15 year long Indian experience in wind electric power generation certainly suggests improvements in design and operation of the system, although the technology as such is passing through various phases of innovation in the international scene. More »»

1997

Journal Article

Dr. Sasi K. K. and Basu, S., “On the prediction of capacity factor and selection of size of wind electric generators- a study based on Indian sites”, Wind Eng, vol. 21, pp. 73–88, 1997.[Abstract]


The capacity factor (CF) of a wind electric generator (WEG) at a site has been computed based on the Weibull parameters of the wind regime as well as the machine characteristics. Every wind regime suggests an optimal wind speed rating of the WEG to produce the maximum energy on an annual basis. However, the selection of a WEG size suitable for a site should be based on the economically optimal wind speed rating which will produce energy at the minimum cost. The paper presents these estimates for selected Indian sites and also discusses the factors that influence these ratings. More »»

1997

Journal Article

Dr. Sasi K. K. and Basu, S., “Growth prospects of wind energy in India”, Journal of the Institution of Engineers (India), Electrical Engineering Division, vol. 78, pp. 117–120, 1997.

1995

Journal Article

Dr. Sasi K. K., “Electrical Equipment for Potentially Explosive Environment”, ELECTRICAL INDIA, vol. 35, pp. 3-5, 1995.

1990

Journal Article

Dr. Sasi K. K., NEOGI, S. U. B. H. A. S. I. S., SHARMA, S. O. U. M. Y. A. S. E. N., and Basu, S., “TESTING OF WIND GENERATORS IN INDIAN CONDITIONS AN OVERVIEW AND APPRAISAL”, Integrated renewable energy for rural development: proceedings of the National Solar Energy Convention, Jadavpur University, Calcutta, India, December 19-21, 1990, p. 393, 1990.

0

Journal Article

Dr. Oruganti Venkata Ramana Murthy and Goecke, R., “Player Falling Detection in Soccer Matches Videos”.[Abstract]


In recent years, most sports such as Soccer are recorded during the actual game and analysed later on by the coaches for training their teams to perform better in the future. The training can be in several aspects such as avoiding fouls, injuries, improving passes and tactics. Automatic detection/retrieval of such specific events from the video database will be of great assistance to the coaches. In this paper, we analyse Soccer match videos with the objective to detect two events – players playing or falling. Player falling, often leading to injury can be costly for the players’ health and also the team performance as a whole. More »»

Publication Type: Conference Paper

Year of Publication Publication Type Title

2019

Conference Paper

J. Sunil, Dr. Balamurugan S., and J, K., “Real Power Flow Control in a Transmission Line by Varying the Turns Ratio of the Injection Transformer”, in 2nd International Conference on Innovations in Power and Advanced Computing Technologies, i-PACT-2019, Vellore Institute of Technology, Vellore, 2019.

2019

Conference Paper

K. Kumar A and Dr. Balamurugan S., “Modelling and Simulation of Point Absorber Wave Energy Converter”, in 2nd International Conference on Innovations in Power and Advanced Computing Technologies, i-PACT-2019, Vellore Institute of Technology, Vellore, 2019.

2019

Conference Paper

, Murthy, O. V. R., and Dr. Balamurugan S., “Design of A Portable Solar Powered RO Desalination Plant”, in International Conference on Recent Explorations in Science, Engineering and Technology – 2K19, KGiSL Institute of Technology, Coimbatore, 2019.

2018

Conference Paper

R. N. Jenipher and Dr. Vijaya Chandrakala K. R. M., “Magnetically controlled reactor based harmonic and voltage profile improvement in long transmission lines”, in 2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017, 2018, vol. 2017-January, pp. 1-6.[Abstract]


The two aspects of power transmission that goes hand in hand, is the voltage control and the reactive power flow. Voltage control is very important in a transmission line to ensure system security, stability and reliability. The under consumption or over consumption of reactive power at load side, effects the voltage profile, which may lead to Ferranti effect, heating of lines, insulation failure. Since it is not always possible to change the nature of load, power compensation circuits are established. These circuits employ inductors (consumes reactive power), capacitors (generates reactive power) and power electronic switches (controls). Here; comes the advent of Flexible Alternating Current Transmission Systems (FACTS) devices for reactive power compensation. The commonly used FACTS devices for reactive power compensation are Thyristor Controlled Reactor (TCR), Thyristor Controlled Series Compensator (TCSC), Static Var Compensator (SVC), and Static Synchronous Compensator (STATCOM). In this paper, characteristics of a new FACTS device named magnetically controlled reactor (MCR) design is drawn out and its harmonic and voltage profile is compared with TCR using MATLAB/Simulink. © 2017 IEEE.

More »»

2018

Conference Paper

K. P. P. Cauvery, Dharanidhar, P., and Dr. Sindhu Thampatty K.C., “Design and implementation of a prototypic hybrid power supply system for street lighting”, in 5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017, 2018, vol. 2018-January, pp. 831-836.[Abstract]


The energy consumption in lighting is increasing day by day. Lot of efforts have been made in order to minimize the energy consumption in lighting. As a part of it, new energy efficient lights, improved lighting design and advanced lighting controls are evolved. Photovoltaic (PV) is the best solution for the energy requirements in the future. This paper proposes a method to maximize the utilization of available solar energy for the efficient street lighting design. This paper presents the design and implementation of a grid-solar hybrid power supply scheme for LED street lighting. The existing street lighting scheme in a part of the University is studied, simulated on DIALux, a lighting analysis software and the problems are analyzed in detail. In order to overcome the problems, a more efficient lighting scheme is proposed. A prototype scaled down model of the proposed lighting scheme is designed and implemented. This scheme utilizes the solar energy in a more efficient way. A control strategy is developed for switching the lamps between solar and grid supply. The control principles and illumination design of the hardware and software are presented. © 2017 IEEE.

More »»

2018

Conference Paper

P. S. Sreekanth and V. R. Rajesh, “Comparative study of energy storage elements in solar still”, in Proceedings of 2017 International Conference on Innovations in Information, Embedded and Communication Systems, ICIIECS 2017, Coimbatore, India, 2018, vol. 2018-January, pp. 1-5.[Abstract]


The efficiency for a passive single-slope type solar still used for desalination and distillation is very low. Most of the available methods are either very costly or very slow in the rate of production. Many studies were conducted to improve the rate of production from the still. In this proposed work, a study on thermal storage elements like pieces of aluminum sheet and galvanized iron sheet with sponge cubes have been performed along with a comparison to the normal plain basin with only sponges. The study is further extended to know the enhancements in efficiency with preheating of the inlet water. In water scarce area, this could be really helpful because of the increased rate and reduced cost of production. A cost analysis has also been carried out to determine the payback period for the proposed system. © 2017 IEEE.

More »»

2018

Conference Paper

S. Achyuthan and Prakash, N. K., “Modelling of a steer-by-wire system with force feedback and active steering”, in Proceedings of the 2017 International Conference on Intelligent Computing and Control Systems, ICICCS 2017, 2018, vol. 2018-January, pp. 676-680.[Abstract]


Automotive systems have been facing electrification, where conventional mechanical systems are either aided by, or replaced by electrical systems and electronic control mechanisms. This trend is triggered by the need for faster, more precise control with high reliability and minimum expenditure of energy. Currently, the industry is witnessing advancements in steering assist systems, in which either hydraulic or electric power assistance is provided in the steering system. A complete replacement for the mechanical steering system is still unexplored. In this paper, a model for steer-by-wire has been developed. This model provides an electric motor actuated steering functionality, with road feedback and active steering. The model has been implemented in MATLAB to obtain the system response. The aforesaid features help the system stay ahead in technology, while also helping to bridge the gap between conventional steering systems and autonomous and semi-autonomous driving systems. © 2017 IEEE.

More »»

2018

Conference Paper

R. Pathak and Sivraj, P., “Selection of Algorithms for Pedestrian Detection During Day and Night”, in Computational Vision and Bio Inspired Computing, Cham, 2018.[Abstract]


This paper presents an image processing based pedestrian detection system for day and night contributing to Advance Driver Assistance System (ADAS). The process, Histogram of Oriented Gradient (HOG) with Support Vector Machine (SVM) as linear classifier is compared and analyzed against Convolution Neural Network (CNN) for performance selection of best algorithm for pedestrian detection during both day and night. Performance analysis was done on standard datasets like INRIA, ETH, etc. and locally created datasets on Intel Processor with Ubuntu operating system. Implementation of HOG-SVM algorithm was performed, using DLib, python (2.7) and OpenCV (3.1.0) and accuracy of 96.25{%} for day and 96.55{%} for night was obtained. The implementation of Convolution Neural Network was performed using Anaconda3, TFLearn and python (3.6) and the scheme achieved an accuracy of 99.35{%} for day and 99.9{%} for night.

More »»

2018

Conference Paper

S. R. Mohanrajan, Vijayakumari, A., and Kottayil, S. K., “Power balancing in autonomous micro grid with variable speed pump”, in IEEE International Conference on Power, Control, Signals and Instrumentation Engineering, ICPCSI 2017, 2018, pp. 2118-2121.[Abstract]


This paper presents a method for supply-demand balancing in autonomous micro-grids using a variable speed pump. The pump is driven by a wound rotor induction motor (WRIM) utilizing a slip power recovery control. The slip power from the rotor is recovered through a line-commutated inverter, which gives the capability for the motor to obtain variable speed operation. Power drawn by the pump being proportional to cube of the speed, the stator power is varied over a wide range as the speed is varied. A load frequency controller senses the deviation in the micro-grid frequency due to the supply-demand mismatch and it suggests the triggering angle of the inverter. This makes the power drawn by the pump track the load variation, so as to nullify the frequency drift and restores the power balance in the micro-grid. A 250kW WRIM is used to drive the proposed micro-grid, which has a maximum demand of 250 kW. The entire system is simulated in MATLAB/Simulink and the variable speed operation of the pump is demonstrated for different triggering angles of the inverter. © 2017 IEEE.

More »»

2018

Conference Paper

N. S. R. Vinay, Saisuriyaa, G., and Balakrishnan, P., “Multiport inverter with AC-link”, in IEEE International Conference on Power, Control, Signals and Instrumentation Engineering, ICPCSI 2017, 2018, pp. 583-586.[Abstract]


Multiport Inverter, a justified concept for hybrid power sources. For integrating power conversion in a hybrid source, single power processing stage is used to interface multiple power inputs. The multiport layout ensures the centralized control as well as compact packaging. In this paper a three-port, the multiport inverter is simulated and elaborated switching strategy is provided with three power ports interlinked to a single power conversion stage. © 2017 IEEE.

More »»

2018

Conference Paper

V. M. V. Karthik and Kottayil, S. K., “An improved PWM control of quasi-switched-boost inverter with reduced ripple magnitude and increased ripple frequency input current”, in Proceedings of 2017 IEEE International Conference on Technological Advancements in Power and Energy: Exploring Energy Solutions for an Intelligent Power Grid, TAP Energy 2017, 2018, pp. 1-6.[Abstract]


This paper presents an improved PWM control for a Quasi-Switched Boost Inverter (qSBI), in order to achieve continuous input current with reduced ripple magnitude and increased ripple frequency. This increase in ripple frequency is accomplished without increasing switching frequency of inverter and its switching losses. Compared to conventional PWMs, the Z-source inductor in qSBI can be of reduced size because of the increase in ripple frequency for a given inverter switching frequency. The voltage boost in qSBI is achieved by allowing a shoot through mode of operation which puts a restriction on the maximum inverter modulation index, thus increasing harmonics at its output. In contrast, the proposed PWM maintains the same boost ratio as that of conventional PWM, but with a higher modulation index and lower THD. This improved performance is realised by introducing a phase shift between the shoot through control signals and the boost control signals. The concept of the proposed PWM is conceived, presented and tested with a simulated qSB-inverter of 700W rating. The performance and the features of the proposed PWM are assessed considering three shoot through conditions and the test results analysed in terms of voltage boost, and harmonic profile, challenging the usual paradox in the conventional PWM. © 2017 IEEE.

More »»

2018

Conference Paper

S. Sindhu, Sindhu, M. R., and Nambiar, T. N. P., “Comparative study of exponential composition algorithm under dynamic conditions”, in Proceedings of 2017 IEEE International Conference on Technological Advancements in Power and Energy: Exploring Energy Solutions for an Intelligent Power Grid, TAP Energy 2017, 2018, pp. 1-6.[Abstract]


Majority of the industrial and commercial loads such as power converters, variable frequency drives, air conditioners, escalators, elevators, etc. incorporate a large number of power electronic devices. These loads introduce dynamic harmonic current, imbalance in the current and varying reactive power demand in the three phase AC mains supply. This paper presents a comparison of four shunt active filtering algorithms. The control algorithms are simulated and analyzed using the MATLAB/Simulink software under different operating conditions. © 2017 IEEE.

More »»

2018

Conference Paper

P. Supriya, “Frequency measurement in a time varying single phase power system using signal processing methods”, in Proceedings of 2017 IEEE International Conference on Technological Advancements in Power and Energy: Exploring Energy Solutions for an Intelligent Power Grid, TAP Energy 2017, 2018, pp. 1-5.[Abstract]


Load fluctuations in a power system affect the otherwise constant frequency of the power system. Use of renewables and the associated power electronics device cause switching transients which modifies the power system frequency to a large extent. Wide use of non linear loads causes distortions which alters the frequency. Literature has numerous methods to measure frequency when the voltage/current signals are sinusoidal. With the advent of smart grid frequency measurement is essential for reliable operation of the grid and for data protection algorithms. In this paper, use of variational mode decomposition technique for frequency measurement in the presence of harmonics, transients and noise is explored. A comparison with the DFT based FIR algorithm for frequency measurement is also investigated. Simulations with test cases indicate a high accuracy rate for the method and a simple test bed using function generator to generate the varying frequencies and comparing the frequency with a specified value available in Lab VIEW is carried out. Performance of the algorithm with the integration of harmonics, transients and noise needs to be investigated. Further it is proposed to run an alternator at variable frequencies and evaluate the algorithm. © 2017 IEEE.

More »»

2018

Conference Paper

N. P. Kumar, Sreemathi, R., Chandar, K. P. R., Vaijayanthi, V., and Kumar, S. P., “PWM inverter switch open-circuit fault analysis in three phase induction motor drive using FEM”, in 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017, 2018, pp. 1244-1248.[Abstract]


This paper examines the switch open circuit fault in a Pulse Width Modulated (PWM) Voltage Source Inverter (VSI) fed three phase induction motor (IM) using Finite Element Method (FEM). The analysis is based on the electromagnetic field parameter of the IM, when an IGBT switch in the PWM inverter leg gets open circuited. The simulation is performed on 7.5kW PWM inverter fed three phase IM and several parameters like torque, speed, current, flux distribution, flux density, radial flux density are investigated under healthy &amp; single switch open circuit faulty condition using ANSYS MAXWELL Finite Element Analysis(FEA) tool. © 2017 IEEE.

More »»

2018

Conference Paper

P. S. Sreekanth, Prabu, T., and Sasi, K. K., “Small wind turbine generator systems with electrolyser”, in EPSCICON 2018 - 4th International Conference on Power, Signals, Control and Computation, 2018, pp. 1-5.[Abstract]


In small wind turbine generator systems (SWTG), the most commonly encountered issue is the fluctuations in the power developed due to the uneven wind velocities. Hence it is preferred not to feed this power to any direct stand-alone systems or to loads continuously. To overcome this issue, the power produced is stored in a battery and fed to the load. Here in this proposed system, the wind turbine is directly connected to a load along with an electrolyser. If the source is constant or fluctuates, the excess power from the turbine has to be accommodated by the electrolyser. Hence an electrolyser is connected to which the excess power from SWTG is re-directed for the production of H2 and could be stored. The stored H2 can be used for variety of applications. The major focus of this case arises in case of waste treatment plants and stand-alone captive power generation plants where excess or off peak periods are available. Here the main challenge is to control the power flow along with the simultaneous switching of the converter. The produced hydrogen gas can be stored as metal hydrides which is one of the safest and advanced technologies of hydrogen storage. © 2018 IEEE.

More »»

2018

Conference Paper

J. Salim, Kumar, C. S., Prabha, A., Haritha, H., Kumar, A. A., and Gopinath, S., “Nuisance attribute projection for improving the performance of obstructive sleep apnea detection”, in EPSCICON 2018 - 4th International Conference on Power, Signals, Control and Computation, 2018, pp. 1-5.[Abstract]


Sleep Apnea is a serious sleep disorder which is characterized by breath cessation during sleep. Repeated cessation can result in reduced oxygen supply to the brain and the rest of the body parts leading to poor sleep quality. Apnea cases are mostly unrecognized owing to the fact that the sleep studies are time and money consuming. Furthermore, the unavailability of high hospital standards and the lack of specialized persons, especially in rural areas have added up to the reason for the non-recognition of apnea. High accurate apnea detection systems were developed which made use of features extracted from the Rapid Eye Movement (REM) stage and thus demanded the persons complete 8 hour sleep. As an initial stage of disease screening, the patient may be uncomfortable to spend his complete night for testing. This paper has brought a system which can detect apnea as soon as the patient goes into his sleep rather than waiting him to enter to the REM stage. This requirement is accomplished by removing the stage dependency of features through Nuisance Attribute Projection (NAP), a used technique for removal of channel nuisances in speaker recognition system. Using the time and frequency domain features of heart rate and respiratory rate variability as input to Support Vector Machine (SVM) classifier, a baseline system of 50% absolute accurate system was developed. NAP was performed on the training features. A weight matrix was developed which brought together those features which belong to same classification label, but separated by the sleep stage and patient-specific variations. Individual systems were developed which removed the stage variations and patient-specific variations. An improvement in classification accuracy of 12.5% and 7.5% absolute were observed when stage and patient-specific variations were removed respectively. Ignoring the N1 stage features a further improvement of 20% absolute was observed. © 2018 IEEE.

More »»

2018

Conference Paper

P. S. Gautham and Shanmughasundaram, R., “Detection and isolation of Black Hole in VANET”, in 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017, 2018, vol. 2018-January, pp. 1534-1539.[Abstract]


Vehicular ad hoc network (VANET) has gained a lot of attraction and importance. It enhances the road safety and provides many value-added services. In VANET particularly Black Hole is a major security threat. A new method is proposed to detect a malicious node that causes black hole and to eliminate the malicious node completely. Various performance metrics are considered for the assessment of VANET during black hole attack which rely on average end to end delay, network throughput, packet loss and packet delivery ratio. Simulation of the network is done by using Network Simulator 2. Simulation environment comprises of 24 vehicular nodes that are dynamic in nature and 1 static nodes that act as road side units. The proposed approach is combined with Ad hoc on demand routing protocol (AODV) to defend and isolate black hole from the network. © 2017 IEEE.

More »»

2018

Conference Paper

T. Narendrakumar and Pillai, A. S., “Smart connected campus”, in 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017, 2018, vol. 2018-January, pp. 1591-1596.[Abstract]


Smart Cities uses Information and Communication Technology (ICT) to enhance the infrastructure components, which provides automation and thereby various services of a city become more intelligent, interconnected and efficient. The proposed work Smart Connected Campus targets on deploying and exploiting smart city technologies and services in an university campus. All the features of a smart campus are networked and communicated through Internet of Things (IoT) solution, by facilitating various objects to be sensed and controlled from any remote location. The proposed smart campus brings in different features viz., university details, on-line resources, emergency contacts, notifications, route map, smart canteen management system, real-time water monitoring system and smart temperature monitoring system all in one platform: Campus Info- A n Android application which guarantee fast and reliable delivery of information at run-time. © 2017 IEEE.

More »»

2018

Conference Paper

A. V. Vinuchandran and Shanmughasundaram, R., “A real-time lane departure warning and vehicle detection system using monoscopic camera”, in 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017, 2018, vol. 2018-January, pp. 1565-1569.[Abstract]


The number of road accidents in the world is increasing every year due to driver negligence. Unintended lane departure and rear end collisions are some of the main reason behind road accidents in the freeway. This project presents an efficient, robust Lane Departure Warning System (LDWS) and a frontal collision warning system, which work on different illumination conditions. The system uses a monoscopic dashboard camera fitted in the windshield of the car. The algorithm makes a birds-eye view (top-view) of the road using Inverse Perspective Mapping. Hough transform is applied on this IPM to find the candidate points of lanes, and finally RANSAC Bezier spline fitting is done to find out the actual lanes. To detect vehicles, Hough transform is applied on the image to check for horizontal lines made by the vehicle. Multithreding is done to improve the performance of the system and to utilize maximum system resources. © 2017 IEEE.

More »»

2018

Conference Paper

B. A. Krishnan and Pillai, A. S., “Digital sensor simulation frame work for hardware-in-the-loop testing”, in 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017, 2018, vol. 2018-January, pp. 813-817.[Abstract]


Hardware-in-the-Loop (HIL) simulation is a dynamic testing technique that simulates the Input/output (I/O) behavior of a physical system that interfaces to a control system. HIL testing allows the designer to simulate the real-time behavior and characteristics of the physical system, so as to test the Device Under Test (DUT) which operates on the physical system, without the need for the actual hardware or operational environment. In this paper, the physical system considered is digital sensors and the control system is a QT based application which utilizes the output from these sensors. Thus, models of the sensors of interest will be created with the help of data sheets of the same and will be implemented in the modeling hardware. The proposed HIL simulator could be used for simulating sensors with I2C outputs. Accelerometer sensors-BMA280 and BMC150 is implemented on the hardware of choice and code libraries for the same are created. This provides a cost effective way of testing large systems including various sensors and actuators. © 2017 IEEE.

More »»

2018

Conference Paper

K. Jahnavi and Sivraj, P., “Teaching and learning robotic arm model”, in 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017, 2018, vol. 2018-January, pp. 1570-1575.[Abstract]


In this paper, the design and development of a robotic arm controller that enables use of a robotic arms as practical laboratory model for teaching and learning of robot arm algorithms is presented. The proposed system consists of OWI robotic arm with 5-Degrees Of Freedom (DOF) with DC motors for each joint movement, Arduino based control unit for control of arm motion and a MATLAB based Graphical User Interface (GUI) with kinematics algorithm at the backend providing user friendly environment for controlling the end-effector of robot arm remotely. The robotic arm is equipped with accelerometers to provide feedback to the microcontroller. The kinematics algorithm is implemented in MATLAB. The MATLAB based GUI, Arduino controller and accelerometers together with the robotic arm provide the practical laboratory model of teaching learning robotic arm platform. This robot arm also provides stand alone operation for pick and place application with the use of Arduino controller and accelerometers. © 2017 IEEE.

More »»

2018

Conference Paper

S. B. Jasna, Supriya, P., and Nambiar, T. N. P., “Application of game theory in path planning of multiple robots”, in 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017, 2018, vol. 2018-January, pp. 147-151.[Abstract]


Game theory is a mathematical discipline which is applied to areas where the conflicts as well as a coordination is needed as in economics, politics. Various aspects of game theory, their solutions based on the type of game theory is discussed in the paper. A case study for robotic path planning of two robots using cooperative game theory with static obstacles and with different probability distribution value and obstacle positions is modeled and its output is tracked in MATLAB platform. To verify the performance of Game theory based path planning it is compared with the popular A algorithm used in robotic path planning simulated under similar conditions. © 2017 IEEE.

More »»

2018

Conference Paper

V. Aparna, Sarath, T. V., and Ramachandran, K. I., “Simulation model for anemia detection using RBC counting algorithms and Watershed transform”, in 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017, 2018, vol. 2018-January, pp. 284-291.[Abstract]


Digital image processing is nowadays widely used in biomedical applications. Counting of the red blood cells from the blood smear images can help in detecting anemia. Since the manual location, identification and counting of red blood cells is a tedious, error prone and time consuming there is a rising need for automating the entire process. A simulation model for anemia detection using RBC counting algorithm is presented in this paper. Both Circular Hough Transform and Connected Component Labelling are implemented for counting the number of RBCs and the results are compared. Watershed transform to separate overlapping blood cells is also presented. Error analysis before and after Watershed transform and parameters like segmentation accuracy, sensitivity and specificity are also included in this paper. © 2017 IEEE.

More »»

2018

Conference Paper

V. Ashokan and Murthy, O. V. R., “Comparative evaluation of classifiers for abnormal event detection in ATMs”, in 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017, 2018, vol. 2018-January, pp. 1330-1333.[Abstract]


As the crime rates in the ATMs are increasing, a security system which detects abnormal events is the need of the hour. Several classifiers such as Random Forest, SVM and KNN are used for recognizing human actions. This paper intends to compare the effectiveness of all these methods for abnormal event detection in ATMs. Feature Extraction is done by HOG technique for all three classifiers. Based on the experimental results, it has been found that Random forest, with a detection accuracy of 96.4 %, is the most effective one. © 2017 IEEE.

More »»

2018

Conference Paper

A. Kumar, Surendra, A., Mohan, H., K. Valliappan, M., and Kirthika, N., “Internet of things based smart irrigation using regression algorithm”, in 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017, 2018, vol. 2018-January, pp. 1652-1657.[Abstract]


The present scenario necessitates the utilization of water resources efficiently due to various reasons like population growth, rapid urbanization and climatic change. This has stressed for an effective management of water resources on our planet. The mismanagement of water used for irrigation not only results in shortage of water but also affects the agricultural production. Therefore it is necessary to optimize the water consumption by providing a monitor and control system for the irrigation process. The manual interpretation of soil water content shows inaccurate results. Also, the human interventions in monitoring the crops lead to wastage of time and energy. The proposed system aims to provide a sustainable solution by automatic monitor and control of irrigation process by using Internet of Things (IoT). In this paper, regression algorithm is used, which aids in the forecast of the amount of water required for the daily irrigation based on the data provided by various sensor devices. The forecasted information is made available on the mobile application (app), through which the current status of the agricultural field can be accessed. Henceforth this sensor network application will help to detect water content in the soil and aids in the smart utilization of water resources. © 2017 IEEE.

More »»

2018

Conference Paper

P. Kiran, Dr. Vijaya Chandrakala K. R. M., and Nambiar, T. N. P., “Multi-agent based systems on micro grid - A review”, in Proceedings of 2017 International Conference on Intelligent Computing and Control, I2C2 2017, 2018, vol. 2018-January, pp. 1-6.[Abstract]


The intelligence required for the smart operation of micro grid can be realized by using Multi-Agent Systems (MAS). Micro grids will be an integral part of future electricity grid offering integration of DERs, advanced storage and demand management. This paper presents a detailed survey and review report of Multi-Agent based systems on Microgrid. Various advantages and challenges on Multi-Agent Technology in research years is discussed. This survey report will help the researchers to know the recent developments undertaken in this application. © 2017 IEEE.

More »»

2018

Conference Paper

J. V. Thomas, Ranjith, R., and Pillay, R. V., “Guaranteeing fault tolerance in real time systems under error bursts”, in 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017, 2018, vol. 2018-January, pp. 1480-1484.[Abstract]


Real-time systems in dynamic environments can encounter faults that can lead to incorrect computation resulting in failure of system or exhibit degraded system performance. Earlier studies focused on managing systems susceptible to faults especially due to error bursts caused by environment exposure and can be disastrous. It is important to deploy strategies to guarantee schedulability of these systems using temporal redundancy for such error bursts. This research employs a methodology for determining upper bound margin of a fault burst model with Rate Monotonic (RM) scheduling, provide error recovery strategy under error bursts, worst case response time (WCRT) and scheduling feasibility. Analysis with a given task set shows the fault tolerant schedulability and an algorithm has been developed for schedulability under various fault burst durations. Evaluation with performance traces and WCRT have been carried out with GUI in MATLAB. This work can be extended to multiprocessor systems, tolerating multiple error bursts and spatial redundancy for safety critical systems. © 2017 IEEE.

More »»

2018

Conference Paper

J. Sankar, Adarsh, S., and Ramachandran, K. I., “Performance Evaluation of Ultrasonic and Infrared Waves on Human Body and Metal Surfaces for Mobile Robot Navigation”, in Materials Today: Proceedings, 2018, vol. 5, pp. 16516-16525.[Abstract]


Ultrasonic and Infrared sensors are widely used for environment perception in most of the robotic navigation systems. In this paper, the behaviour of Ultrasonic and Infrared waves on human body and metal surfaces is carried out. The sensors were integrated in a mobile robot platform for acquiring the distance data. The sensed data was analysed both statistically as well as computationally to provide meaningful interpretations of the sensors responses on those surfaces. This analysis helps to design suitable algorithms based on the performance ranges of individual sensors. Fuzzy logic based analysis (both Type-1 and Type-2) was performed over the sensor data for the possible sensor data fusion. © 2017 Elsevier Ltd.

More »»

2018

Conference Paper

S. K. Das, Sathish, A., and Stanley, J., “Production of Biofuel and Bioplastic from Chlorella Pyrenoidosa”, in Materials Today: Proceedings, 2018, vol. 5, pp. 16774-16781.[Abstract]


With the growing need for clean and alternate sources of energy, bio based fuels are increasingly being used as an energy substitute. Conventional sources used for biofuel production have limitations that can be overcome by the use of microalgae. For this study, biofuel and bioplastic were produced from Chlorella pyrenoidosa under optimised growth conditions. The mother culture was cultured separately in Fogg's medium and Fogg's broth under a constant light intensity of 80 Lux. Maximum growth was observed after 10 days. The strain showed an increase in growth rate under the presence of carbon dioxide. Lab scale flocculation and transesterification were carried out for the production of biodiesel. Tests were also conducted to ensure the quality of biodiesel. The leftover algal biomass was chemically treated to produce bioplastic. The biodegradability of the polymer is due to Poly Hydroxy Butyrate (PHB) present in the microalgae cell. The PHB content was analysed in UV photospectrometry at 230 nm. The result showed 27% of PHB content in the 14 days old algae culture. This ensures that the bioplastic produce from the microalgae is biodegradable in nature. The detoxification of Chromium and Nickel by the microalgae showed a reduction of 11.24% and 33.89% respectively. © 2017 Elsevier Ltd.

More »»

2018

Conference Paper

Divya K. R., Nithin S, and Dr. Sasi K. K., “A Smart Home Controller aiding utilities in demand side management”, in Power and Energy systems towards sustainable Energy, PESTSE-2018, 2018.

2018

Conference Paper

Tom T Thomas, Nithin S, Sivraj, P., and Guruvayoorappan K., “Design of an embedded controller for next generation insulin pump”, in proceedings of the international conference on inventive research in computer applications(ICIRCA 2018), 2018.

2018

Conference Paper

R. V. Teja, Dr. Balamurugan S., and S. Kumar, S., “Development of ALFC and AVR Control Loop as Laboratory Model using DC-DC Buck Chopper”, in 2018 National Power Engineering Conference, NPEC 2018, 2018.[Abstract]


The main objective of Automatic Voltage Regulator (AVR) is to maintain the terminal voltage through controlling the excitation. Automatic Load Frequency Control (ALFC) plays significant role in maintaining the frequency through controlling the mechanical power input to match the varying load requirements. In this paper, the laboratory model of AVR along with ALFC is developed. The proposed AVR and ALFC system based on laboratory model gives an added advantage over the mathematical model due to its materialistic approach. AVR senses the terminal voltage of an alternator and compares with the reference voltage and generates error signal which intern adjusts the field current by using DC-DC Buck chopper. ALFC senses the speed ofthe alternator and compares it with the reference speed and generates error signal which intern adjusts the mechanical power input to an alternator by using DC-DC Buck chopper connected to the armature terminal of the DC-motor. The entire setup is simulated in Matlab@ simulink. The proposed laboratory model based AVR and ALFC system is tested for various loading conditions to validate its effectiveness. © 2018 IEEE.

More »»

2018

Conference Paper

S. Anoop and Sharma, K. R., “Model predictive control: Simulation studies for the implementation on vertical take-off and landing lab prototype”, in Procedia Computer Science, 2018, vol. 143, pp. 663-670.[Abstract]


Model Predictive Control (MPC) is one of the advanced control techniques. The ability to act prior to the setpoint change by predicting the future control actions makes MPC a better choice for control applications with predefined setpoint trajectory. This paper is a preliminary work done for the development of control system for an autonomous air-borne surveillance system. A brief comparison among the constrained, unconstrained MPCs and Proportional-Integral-Derivative (PID) controller is presented. Simulation study of the implementation of MPC on the QNET Vertical Take-Off and Landing (VTOL) prototype is investigated in this paper. The software platforms used in this study include MATLAB and Simulink. © 2018 The Authors. Published by Elsevier B.V.

More »»

2018

Conference Paper

N. K. Ambika and Supriya, P., “Detection of vanilla species by employing image processing approach”, in Procedia Computer Science, 2018, vol. 143, pp. 474-480.[Abstract]


Image analysis approach is adopted for identifying two species of vanilla; a popular spice yielding orchid. Vanilla species namely Vanilla planifolia (cultivated species) and Vanilla andamanica (wild species) were compared using image analysis of their leaves which is otherwise done using plant taxonomical methods, mainly flower morphology. Geometric features of the leaves of the two species were computed and four features were identified for distinguishing these two species. Support Vector Machine classifier was employed to get accurate results. The algorithm was implemented in OpenCV-Java. This facilitates porting the application to an embedded platform which is in progress. The approach is helpful for identifying these two species of Vanilla before flowering. © 2018 The Authors. Published by Elsevier B.V.

More »»

2018

Conference Paper

Vijay Krishna Menon, Variyar, V. V. Sajith, Dr. Soman K. P., Gopalakrishnan, E. A., Kottayil, S. K., Almas, M. Shoaib, and Nordström, L., “A Spark™ Based Client for Synchrophasor Data Stream Processing”, in 2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE), Phuket, Thailand, 2018.[Abstract]


The SCADA based monitoring systems, having a very low sampling of one reading per 2-4 seconds is known to produce roughly 4.3 Tera Bytes (TiBs) of data annually. With synchrophasor technology, this will go up at least 100 times more as the rate of streaming is as high as 50/100 (60/120) Hz. Phasor data concentrators (PDCs) transmit byte streams encapsulating a comprehensive list of power system parameter including multiple phasor measurements, instantaneous frequency estimates, rate of change of frequency and several analog and digital quantities; this high volume and velocity of data makes it truly ‘Big Data’. This helps in making the power grid a lot more observable, enabling real-time monitoring of crucial grid events such as voltage stability, grid stress and transient oscillations. Synchrophasor technology uses the IEEE C37.118.2-2011™ Phasor Measurement Unit (PMU) / PDC communication protocol for data exchange which has no direct interface with any contemporary big data stream APIs or protocols. In this paper we propose a streaming interface in Apache Spark™, a popular big data platform, using Scala programming language, implementing a complete IEEE C37.118.2-2011™ client inside a stream receiver so that we can effortlessly receive synchrophasor data directly to Spark™ applications for real-time processing and archiving.

More »»

2018

Conference Paper

P. S, Dr. Sindhu Thampatty K.C., and PadmanabhanNambiar, T. N., “Input- Output Linearization Control of SSSC for Power Flow Enhancement in a Power System Network”, in 2018 15th IEEE India Council International Conference (INDICON).IEEE INDICON 2018 , Amrita VishwaVidyapeetham, Coimbatore, 2018.

2018

Conference Paper

S. S and Dr. Sindhu Thampatty K.C., “A study on MRAC, LQR and MPC controllers for a Vertical Take-o_ and Landing System”, in IEEE International Conference on Circuits and Systems in Digital Enterprise Technology, IEEE ICCSDET 2018, 2018.

2018

Conference Paper

P. S, PadmanabhanNambiar, T. N., and Dr. Sindhu Thampatty K.C., “Modelling and Non linear Control of SSSC to enhance Power Flow in IEEE 5 bus system”, in IEEE Power Electronics, Drives and Energy Systems Conference PEDES2018, Indian Institute of Technology Madras in Chennai, Tamilnadu., 2018.

2018

Conference Paper

A. A. and Dr. Vijaya Chandrakala K. R. M., “Hybrid Energy Storage System For an Electric Vehicle Powered by Brushless DC Motor”, in 2018 International Conference on Control, Power, Communication and Computing Technologies (ICCPCCT), 2018.[Abstract]


This paper gives an account on a hybrid energy storage system with Lithium ion battery and supercapacitor for an Electric vehicle. It is interconnected with a bidirectional DC-DC converter and the simulation results are obtained and tested for a small scale level. Battery can provide for longer all electric range depending on the battery capacity but has lesser efficiency when used under highly loaded conditions which leads to high thermal stress and decreases the life of the battery, which can be taken care of by supercapacitor. Simulation is done in MATLAB/ Simulink which has three modes of operation which includes powering the electric vehicle run on Brushless DC motor with both the energy storage devices and power management between them.

More »»

2018

Conference Paper

S. A, S, P., K, S., Dr. Balamurugan S., and Dr. Vijaya Chandrakala K. R. M., “Simulated Annealing Based Fractional Order PID Controller for Heavy Duty Gas Turbine Plant”, in Recent Trends in Electronics, Information & Communication Technology – RTEICT-2018, Sri Venkateshwara College of Engineering, Bengaluru, 2018.

2018

Conference Paper

V. V. S. A. Sunil Kumar, G. Reddy, V., Nikhil, G., G, V., and Dr. Balamurugan S., “Online Monitoring of Transmission Line Parameters”, in Recent Trends in Electronics, Information & Communication Technology – RTEICT-2018, Sri Venkateshwara College of Engineering, Bengaluru, 2018.

2018

Conference Paper

S. Kumar, R Xavier, J., and Dr. Balamurugan S., “ANFIS Based Reference Flux Estimator with GA Tuned Controller for DTC of Induction Motor”, in National Power Engineering Conference NPEC-2018, Thiagarajar College of Engineering, 2018.

2018

Conference Paper

S. Kumar S, Joseph Xavier R, and Dr. Balamurugan S., “An Adaptive DTC Scheme for IM drive with Source and Load Variation”, in Second National Power Engineering Research Scholors’ Conference, IIT Madras, Chennai, India, 2018.

2017

Conference Paper

P. Joshy and Supriya, P., “Implementation of robotic path planning using Ant Colony Optimization Algorithm”, in Proceedings of the International Conference on Inventive Computation Technologies, ICICT 2016, 2017, vol. 1.[Abstract]


Mobile robot path planning is critical in the present day of automation. Several situations may occur for humans, like the environment may be dirty, hazardous, might cause death, or injury as in case of mining, detecting leakage in pipe, cleaning of pipe etc. where robots can be successfully employed. The idea of this paper is to develop a mobile robot that finds the shortest route from source to destination by using Ant Colony Optimization Algorithm with a single robot. The hardware used is iRobot Create interfaced to NXP LPC1768 Cortex M3 controller. The same is simulated using MATLAB. The output of the hardware is also made visible in Teraterm. It is observed that the mobile robot is enhanced with considerable skills to trace a path of optimum distance from source to destination without any collision in most of the situations, barring a few.

More »»

2017

Conference Paper

R. Mahalakshmi and Dr. Sindhu Thampatty K.C., “Sub-Synchronous Resonance analysis on DFIG based windfarm”, in IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2017, pp. 930-935.[Abstract]


The rapidly growing level of wind energy injection into the grid is insisting the modifications in power system. In order to improve power transfer capability, series capacitive compensation in the transmission line is adopted which leads to Sub Synchronous Resonance (SSR) oscillations. The main objective of this paper is to develop a dynamic model of Doubly Fed Induction Generator (DFIG) based wind farm connected into grid through series compensated transmission line for SSR studies. The small signal stability studies are carried out through Eigen value approach. State space representation of the whole system is developed. Different modes of the systems are identified for different wind speeds and for various series compensation levels.

More »»

2017

Conference Paper

Dr. Sindhu Thampatty K.C. and Raj, P. C. R., “Design and Implementation of RTRL Based Adaptive Controller for TCSC to enhance power system stability”, in IEEE Region 10 Annual International Conference, Proceedings/TENCON, Singapore, Singapore, 2017, pp. 812-817.[Abstract]


The power system complexity is increasing day by day and the requirement of stable, secure and high quality electrical power is mandatory in present scenario. Flexible AC Transmission System (FACTS) devices such as Thyristor Controlled Series Capacitor (TCSC) are commonly used nowadays to improve the power system performance. This paper presents the design and Implementation of non-linear, Adaptive Real Time Recurrent Learning Algorithm (RTRL) based controller for TCSC to damp power system oscillations and enhance the stability of the system. This control scheme requires two sets of neural networks. The first set is a neuro-identifier and the second set is a neuro-controller which generate the required control signals for the thyristors. © 2016 IEEE.

More »»

2017

Conference Paper

J. Srinivasan, Selvaraj, K., Chitrarasu, J., and Resmi, R., “Design and analysis of squirrel cage induction motor in short pitch and full pitch winding configurations using FEA”, in Proceedings of IEEE International Conference on Emerging Technological Trends in Computing, Communications and Electrical Engineering, ICETT 2016, 2017.[Abstract]


Squirrel cage induction motors are very popular in industrial and manufacturing process because of its reliability, low cost and rugged construction. In this paper, three phase, 1.1 kW, 500 rpm Squirrel Cage Induction Motor is designed for 12 pole configuration. The performance of the motor due to full pitch and short pitch winding configurations are analysed and the results obtained are compared. Finite element method is used for the analysis and verification. In addition to that, the harmonics of winding current of the motor is compared for both configurations. The analysis is performed using ANSYS MAXWELL software which is a powerful tool to analyse the performance of machines. © 2016 IEEE. More »»

2017

Conference Paper

P. Sahin, Resmi, R., and Dr. Vanitha V., “PMSG based standalone wind electric conversion system with MPPT”, in Proceedings of IEEE International Conference on Emerging Technological Trends in Computing, Communications and Electrical Engineering, ICETT 2016, 2017.[Abstract]


Today wind energy has emerged as an alternative energy source for power generation. This paper investigates about standalone Permanent Magnet Synchronous Generator (PMSG) based wind energy conversion system (WECS) with Maximum Power Point Tracking (MPPT). The proposed system comprises of Wind turbine (WT), PMSG, boost converter, uncontrolled diode rectifier, battery bank, bidirectional buck boost converter and dc load. Multi pole PMSG is best suited for low speed, wide range variable speed wind energy applications. Wind flow varies with time; as a result power produced also varies. As maximum power has to be tracked for varying wind speeds, perturbation & Observation (P&O) algorithm is implemented for MPPT. Battery storage system is essential to supply the load during low wind speed condition. In this paper, a simulation study of the proposed standalone system is done using SIMULINK in MATLAB. © 2016 IEEE. More »»

2017

Conference Paper

V. Ankita and Dr. Vijayakumari A., “A reduced converter count solid state transformer for grid connected Photovoltaic applications”, in Proceedings of IEEE International Conference on Emerging Technological Trends in Computing, Communications and Electrical Engineering, ICETT 2016, 2017.[Abstract]


This paper presents a Solid State Transformer (SST) interface for grid connected Photovoltaic (PV) system. A new method is proposed for Maximum Power Point Tracking (MPPT) through a single phase inverter with phase displacement control. The inverter control variable is redefined such that it can be used for MPPT. Due to this control technique one converter stage for power tracking is eliminated, leading to a reduced component count for the overall system. The high frequency transformer's model parameters are designed for an operating frequency of 20 kHz for simulation studies. The grid side converter is controlled for synchronization and power flow using a Synchronous Reference Frame (SRF) current controller. The overall system is tested in simulation for a panel rating of 1.15 kWp under various insolation conditions and power balance is verified and presented. Testing is carried out under step change in the insolation to evaluate the performance of the SST interface under transient conditions. The proposed system is tracking the maximum power available from the panel and delivering it into the grid with high efficiency. The overall system efficiency and the high frequency transformer efficiencies are presented under various operating conditions. © 2016 IEEE.

More »»

2017

Conference Paper

K. K. Khan and Dr. Vijayakumari A., “A dual mode control for bridgeless SEPIC power factor correction rectifier”, in Proceedings of IEEE International Conference on Emerging Technological Trends in Computing, Communications and Electrical Engineering, ICETT 2016, 2017.[Abstract]


This paper presents the design and development of a dual mode controlled bridgeless SEPIC unity power factor correction rectifier for a typical low power application like an LED driver. The proposed topology has reduced component count with reduced conduction losses because of no front end diode rectifier. The bridgeless SEPIC converter is designed to operate in discontinuous current mode so as to obtain a natural zero current turn off in output diode and zero current turn on in switches. This will reduce the complexity in control and provides voltage following capability for the source current. The proposed dual mode control circuit gives a supplementary control capability to attain sinusoidal current even in the presence of harmonics in source voltage. A harmonic detection is carried out on the source voltage and the control is directed according to the results either to voltage follower or average current control. The second control uses an extraction technique to get a sinusoidal current reference and maintains UPF even with the presence of harmonics in the source voltage. The proposed converter with its associated control is developed in MATLAB/Simulink for a power rating of 10W a practical rating of an LED load. Beside the normal operating conditions, the circuit is tested under varying source voltage, frequency and also with harmonic source voltage. The source current is found to be sinusoidal under all the conditions and the current THD is found to be well below 5% with unity power factor. © 2016 IEEE.

More »»

2017

Conference Paper

P. V. Sandeep and Dr. Vijayakumari A., “Grid connected wind driven permanent magnet synchronous generator with high frequency solid state transformer”, in Proceedings of IEEE International Conference on Emerging Technological Trends in Computing, Communications and Electrical Engineering, ICETT 2016, 2017.[Abstract]


This paper presents the control of grid connected wind driven permanent magnet synchronous generator through solid state transformer with a high frequency multistage converter interconnect. Maximum power point tracking is carried out in the high frequency generator side converter stage where as the grid side converter takes care of the synchronization. The model parameters for the high frequency transformer are obtained by analytical calculation and the same is used in the simulation. A push pull converter with incremental conductance algorithm on the generator side tracks the MPP. It also converts the dc output into high frequency wave so that it can be directly applied to the primary of the high frequency transformer. The rectified secondary voltage is grid synchronized through the grid side inverter with synchronous reference controller. The entire system including the high frequency transformer is simulated in MATLAB/Simulink for a 2.5 kW PMSG. © 2016 IEEE.

More »»

2017

Conference Paper

K. Sharmila, Sarath, T. V., and Dr. K. I. Ramachandran, “EMG controlled low cost prosthetic arm”, in 2016 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2016 - Proceedings, 2017, pp. 169-172.[Abstract]


Electromyography (EMG) signals have been extensively used as a control signal in robotics, rehabilitation and health care. In this paper, cost effective design of prosthetic hand using EMG control is presented. Signal amplification and filtering is the primary step in surface EMG signal processing and application systems. Quality of the acquired EMG signal depends on the amplifiers and filters employed. Single channel continuous EMG signal has been acquired from the users arm for various hand movements. The acquired signal is passed through various stages of filters and amplifiers for amplification and noise reduction. The conditioned analog signal is converted into digital samples. After the signal acquisition process, features are extracted from the acquired signal and the extracted features are reduced to minimize the number of computations. These reduced feature parameters are used to classify the signal for different hand movements. Once the classifier identifies the intended motion, the control signal will be generated and given to the motors in the prosthetic hand to perform the intended movements. Experiments were done to find the efficiency of the developed system and it is found that this system can give basic movements at a very low cost. © 2016 IEEE.

More »»

2017

Conference Paper

M. M. Harin, Vanitha, V., and Jayakumar, M., “Comparison of PWM Techniques for a three level Modular Multilevel Inverter”, in Energy Procedia, 2017, vol. 117, pp. 666-673.[Abstract]


Modular multilevel converter (MMC) is a kind of multilevel inverter topology suitable for HVDC and medium voltage applications. These types of converters are designed inorder to mitigate the drawbacks of conventional multilevel inverters like the difficulty of capacitor voltage balancing during higher level of operation, the need for output filters and interfacing transformer. The chopper cell configuration or half bridge cell is the simplest submodule configuration of MMC. In this paper, different Carrier based pulse width modulation techniques for chopper cell based MMC are compared for a lagging power factor load. Simulation analysis has been done using MATLAB/Simulink and the results are verified. © 2017 The Authors. Published by Elsevier Ltd.

More »»

2017

Conference Paper

Dr. Balamurugan S., S., R. Shree, and Dr. Vijaya Chandrakala K. R. M., “Congestion Management for Multi Area Deregulated Power System Using Price Area Concept”, in IEEE International Bienial Conference on Technological Advancements in Power and Energy, 2017.[Abstract]


Congestion management is controlling the power flow in transmission line within the steady state stability limit. In deregulated power system, both economics and system security should be considered while managing the transmission line congestion. Price area congestion management technique is the one that not only relieves transmission line congestion but also provides maximum benefit to the stakeholders. The price area concept adopts different pricing for each area rather than fixing same price for all the areas. Different area pricing without congestion is achieved by increasing the price in deficit area and decreasing the price in surplus area. In this paper, control strategy based on price area congestion management for a three area system is developed. The control strategy is tested on a three area system operating in all possible combinations of contract. The test results prove that the control strategy based on price area concept relieves congestion without affecting the net surplus of the generation and distribution companies.

More »»

2017

Conference Paper

S. K. Kumar, Dr. Balamurugan S., and Janarthanan, N., “Enhancement of TCSC characteristics”, in International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT2017), Vimal Jyothi Engineering College, Kannur, 2017.

2017

Conference Paper

Surya R, Janarthanan N, and Dr. Balamurugan S., “A Novel Technique for Congestion Management in Transmission System by Real Power Flow Control”, in International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT2017), Vimal Jyothi Engineering College, Kannur, 2017.

2017

Conference Paper

N. Janarthanan, Dr. Balamurugan S., and V., D. K., “Real time congestion management using coordinated control Algorithm”, in International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT2017), Vimal Jyothi Engineering College, Kannur,, 2017.

2017

Conference Paper

S. Selva Kumar, Joseph Xavier R, and Dr. Balamurugan S., “Common Error Reference Based Parallel Operation of Gas Turbine Plants”, in IEEE International conference on intelligent computing, instrumentation and control technologies (ICICICT2017), , Vimal Jyothi Engineering College, Kannur, , 2017.

2017

Conference Paper

Lekshmi R. R. and Dr. Balamurugan S., “Area and Economic Participation Factor Calculation of GENCOs in a Multi Area Competitive Power System”, in In Proc. of IEEE International conference on Circuit, power and computing technologies, Baselios Mathews II college of Engineering, Kollam, India, 2017.[Abstract]


Deregulation creates competitive market with GENCOs and DISCOs as the market players. The GENCO offers and DISCO bids are submitted to market operator who clears the market with the aim to maximize social welfare. The power trading is done in an open access between in-merit GENCOs and DISCO. The allotted power demand of each in-merit DISCO is met by in-merit GENCOs that generates contracted power. Thus, GENCOs share a portion of the power demand of each DISCO. The contribution of each GENCO to meet power demand of a DISCO is represented in terms of area participation matrix. During contract violation, willing GENCOs shares the un-contracted power demand based on economic participation factor. Thus, GENCOs generate the contracted (during contracted condition) and un-contracted power (during violation) based on area participation factors and economic participation factors respectively. This is achieved with the help of automatic generation control. This paper assumes a two area system with different market conditions and develops a generalized mathematical expression to calculate these factors based on the allotted in-merit GENCO power and available willing GENCO power. These factors are then incorporated in the mathematical model of two area system under deregulated environment. The performance of the developed model is tested under tie line bias control strategy to check whether the GENCOs and TRANSCO power is based on the participation factors.

More »»

2017

Conference Paper

N. Kirthika and Balamurugan, S., “Pass through congestion management in deregulated power system using genetic algorithm”, in Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2017, 2017.[Abstract]


Transmission grid infrastructure is a backbone for the competitive electric power market operation. Yet, the need for improvement of suitable transmission system is emphasized due to the dominance of transmission congestion in various parts of the grid. Such transmission line overloads turns critical to the system security and furthermore suppress the competitiveness of the power market. Congestion mitigation is therefore an inevitable function that is likely to be employed with quick response. Nordic countries address this issue by splitting the market into areas and implement using the spot pricing strategy. Pass through congestion is a one such unsolved prevailing issue in the area pricing strategy. In this paper, the solution to the pass through congestion using market splitting method is dealt. The mathematical formulation for a simple three area system with pass through congestion management is built using MATLAB. The quantity of power exchange between the areas is determined based on the GA optimization technique. This aids in the evaluation of social surplus confirming the well-being of the society. The obtained results are validated using the conventional graphical approach. © 2017 IEEE. More »»

2017

Conference Paper

P. R. Rejula and Dr. Balamurugan S., “Price area congestion management for an interconnected system with loop flows”, in International Conference on Innovations in Power and Advanced Computing Technologies [i-PACT2017], VIT,Vellore, Chennai, , 2017.

2017

Conference Paper

A. S.A., Jain, N. L., Priyanka, R., and Dr. Balamurugan S., “Impact Analysis on Surge Impedance Loading”, in International Conference on Innovations in information Embedded and Communication Systems (ICIIECS), Karpagam College of Engineering, Coimbatore, 2017.

2017

Conference Paper

A. Gopakumar and Vijayakumari, A., “Model predictive current controller for grid connected PV inverter”, in Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2017, 2017.[Abstract]


This paper presents the design, development and simulation studies of a model predictive current controlled grid connected PV inverter. The cost function for the Model Predictive Controller is formulated with the objective of current tracking by inverter to transfer maximum power from the PV panel. A dc-dc converter stage is preceding the inverter to perform P&O power tracking for the PV panel. The inverter control takes care of the dc link voltage so as to generate the reference for its inner current loop. The entire system is designed for a power rating of 15kW and simulated in MATLAB/Simulink platform under various irradiance conditions. The predicted current is in good agreement with the reference current generated under all conditions. The THD of the injected current is found to be well within the maximum limits. The power balance between the panel and the inverter output is verified for various conditions. © 2017 IEEE.

More »»

2017

Conference Paper

R. G. Krishnan, Isha, T. B., and Balakrishnan, P., “A back-EMF based sensorless speed control of permanent magnet synchronous machine”, in Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2017, 2017.[Abstract]


This paper proposes a sensor less speed control technique for permanent magnet synchronous machine (PMSM), using field oriented control technique, by sensing the back-emf developed across the stator windings. Conventionally, t o control the speed of a PMSM, speed encoders like optical encoders, proximity sensors, precision encoders etc are used to sense the speed. These encoders are very expensive and are also prone to external noises as they are mounted on the motor shaft. So a sensor less speed detection algorithm is developed by sensing the back-emf and the speed is calculated. A field-oriented control (FOC) technique is used in which the rotor flux is oriented along the d-axis of the rotating frame, at rotor speed (synchronous speed). The q-axis current component represents the armature current. Thus both field and armature current can be independently controlled. A surface mounted permanent magnet synchronous machine (SPMSM) is selected for study. The entire system was simulated in MATLAB/Simulink and the performance was analyzed for various speed and torque references. © 2017 IEEE.

More »»

2017

Conference Paper

V. Naveen and Isha, T. B., “A low cost speed estimation technique for closed loop control of BLDC motor drive”, in Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2017, 2017.[Abstract]


This paper proposes a sensorless speed control technique for Brushless DC Motor (BLDC) drives by estimating speed from the hall sensor signals. Conventionally, the speed is measured using precision speed encoders. Since these encoders cost almost half of the entire drive system, there arises the need for a low cost speed estimation technique. This is proposed by measuring the frequency of the in-built-hall sensor signals. Here, a closed loop speed control of BLDC motor is proposed using a current controlled pulse width modulation (PWM) technique. Since BLDC motor is an electronically commutated machine, the commutation period is determined by a switching table that shows the hall signals' status. The entire system was simulated in MATLAB/Simulink and the performance of the system was analyzed for different speed and torque references. © 2017 IEEE.

More »»

2017

Conference Paper

K. J. Aparna, Sindhu, M. R., and Jisma, M., “Reactive power management of a grid connected SCIG using STATCOM”, in Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2017, 2017.[Abstract]


Wind energy is a significant and promising form of renewable energy. But the main problem associated with grid connection of wind power is its reactive power demand. Squirrel cage induction generators (SCIG) need reactive power for magnetization, which is taken from the grid. With the increase in wind speed, amount of real power generation and hence reactive power demand from source also varies. In this work, STATCOM helps to meet the reactive power needs of induction generator. STATCOM controlled with Instantaneous Reactive Power Theory [IRPT] control algorithm is used for the reactive power management of grid connected SCIG. System performance is studied by means of simulation using MATLAB/Simulink. © 2017 IEEE.

More »»

2017

Conference Paper

V. Pillai and Isha, T. B., “A study on occurance of a nonlinear phenomenon: Chaos in a DC chopper drive”, in Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2017, 2017.[Abstract]


Power electronics has been a part of interdisciplinary platforms in 21st century due to its wide range of applications. Due to the nonlinear characteristics of the semiconductor switches and their nonlinear switching patterns, the system as a whole becomes a nonlinear one. This paper aims at a study on existence of a nonlinear phenomenon called chaos in a chopper fed DC drive. A study is made on how these chaotic phenomena occur in a voltage fed separately excited DC motor due to the variation in different bifurcation parameters associated with the circuit. The state variable models are derived and the phase-portrait is constructed to do the stability analysis of the system. A buck chopper is used to vary the voltage applied across a dc motor which is separately excited. The simulation is done in MATLAB-Simulink and various phase portraits are plotted by varying the bifurcation parameters. © 2017 IEEE.

More »»

2017

Conference Paper

N. Aarthi, Vijayakumari, A., Dr. Sindhu Thampatty K.C., and Nambiar, T. N. P., “Single stage grid connected solar micro-inverter with two level fuzzy logic MPPT controller”, in Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2017, Kollam, India, 2017.[Abstract]


This paper presents a single stage grid connected three phase micro inverter for transfer of power from a solar array to grid controlled by a two level fuzzy logic controller. The system utilizes a line commutated inverter, thus the need for synchronization modules are eliminated. A fuzzy logic controller is designed and developed to track the maximum power from the PV panel and generate an appropriate control variable which is compatible for the switching of thyristorised converter. A two level logic is chosen for faster convergence with variable correction steps for the fuzzy logic controller. The maximum power point voltage window is identified from the PV array characteristics and the rule base for the two levels is developed. The system is tested for two array ratings of 5.8 kW and 8.7 kW to bring out the generic nature of the proposed fuzzy controller for power tracking. The micro inverter system is executed in MATLAB/Simulink for varying ambient conditions of the PV panel and the power balance is verified as proof of theory. © 2017 IEEE.

More »»

2017

Conference Paper

N. Geetha, Parvathy, S., and Dr. Sindhu Thampatty K.C., “Output voltage regulation of controlled rectifiers using feedback linearization control algorithm”, in 2017 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2017, Kollam, India, 2017.[Abstract]


PWM converters are usually controlled using linear control techniques. As the linear control techniques have a disadvantage of requiring tuning from time-to-time, non-linear control techniques were employed for the control. One such non-linear control technique is feedback linearization control (FBLC). A control strategy for controlling the output voltage of three phase PWM converters through a linearization technique is discussed in this paper. Feedback linearization technique allows a few advantages like the decoupled control of the state variables, wide operating region. The performance analysis of the converter control using FBLC is done for varied conditions of load. The results from simulation of the controller and the analysis made on the thus linearised system shows the effectiveness of the Feedback linearization technique on different operating conditions. © 2017 IEEE.

More »»

2017

Conference Paper

P. Keerthy, Maya, P., and Sindhu, M. R., “An adaptive transient tracking harmonic detection method for power quality improvement”, in TENSYMP 2017 - IEEE International Symposium on Technologies for Smart Cities, 2017.[Abstract]


Among various power quality issues, presence of harmonics in voltage/current waveforms is a major one. It becomes prominent in smart grids, where renewable energy sources are integrated through power electronic interfaces. Efficiency of harmonic mitigation techniques depends on accurate estimation of fundamental and non-fundamental parts of the waveform. In this paper, an adaptive harmonic estimation technique based on empirical wavelet transform is proposed. This technique is applied to source current waveform measured from a sample power system with nonlinear load. During transients, the algorithm is found to be capable of tracking the change in the fundamental frequency with good time-frequency localization. Simulation of the algorithm is carried out in MATLAB/Simulink. Results are presented and discussed. © 2017 IEEE.

More »»

2017

Conference Paper

Dr. Sindhu Thampatty K.C. and Parol, A., “Design of linear quadratic regulator for SCIG based wind farm to damp SSR oscillations”, in TENSYMP 2017 - IEEE International Symposium on Technologies for Smart Cities, 2017.[Abstract]


As the penetration of wind energy to the grid is increasing drastically, the transmission line must be capable of handling large power which demands the series capacitor compensation for the lines. This can result in Sub-synchronous oscillations in the system. This paper explains the detailed mathematical modeling of a Squirrel Cage Induction Generator (SCIG) based wind farm, which is interconnected to the grid through a series, compensated transmission line. The detailed Sub-synchronous Resonance (SSR) analysis has been conducted under various operating conditions such as varying wind penetration levels, varying series compensation levels and varying grid impedance levels. Damping of different modes of SSR oscillations are analysed using the eigen value method. A Linear Quadratic Regulator has been designed for damping of these oscillations. The performance of the system with the proposed controller is analyzed for different operating conditions and the performance was satisfactory. © 2017 IEEE. More »»

2017

Conference Paper

S. K. Kottayil and Vadana, P. D., “Modeling and Simulation of Energy Aware Smart Micro Grid”, in IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2016, 2017, vol. 2016-January, pp. 1-6.[Abstract]


Penetration of micro grids energized by renewable energy onto the conventional grid answers the global energy crisis and its environmental impacts. This paper focuses on the modeling and simulation of an Energy Aware Smart Micro Grid (SMG) system using the M-file in MATLAB® 2010A. SMG is made to be energy aware by the Dynamic Energy Management System (DEMS) that monitors its status at regular intervals and takes necessary actions based on the Dynamic Energy Management (DEM) scheme. This scheme controls the charge-discharge transactions on the installed storage modules in order to oppose the frequency excursions. The operation of DEMS enabled SMG penetrating the power grid is simulated and verified. When several such DEMS enabled resilient SMGs capable of handling the adverse grid conditions are penetrating the legacy grid, a greener grid is evolved. © 2016 IEEE.

More »»

2017

Conference Paper

M. Mahesh and Sivraj, P., “DrawCode: Visual tool for programming microcontrollers”, in 2017 3rd International Conference on Advances in Computing,Communication Automation (ICACCA) (Fall), 2017.[Abstract]


For a beginner or someone from a specific application area who has limited skill set in microcontroller programming, it becomes a very tedious task to make a microcontroller, the brain of all automated systems now, up and running for one's application. This work is an attempt to develop a model driven integrated development environment (MD-IDE) for Texas Instruments MSP430g2231 microcontroller that can ease the work of the developers using this microcontroller. The GUI and the core logic of the IDE will be developed using Qt 5.0 framework and validated by programming TI's MS430g2231. The finished work will have an Integrated Development Environment (IDE) where in the user can simply use several predefined blocks each representing a peripheral or a function of the microcontroller. The final IDE can help the user reduce the design time by using a graphical programming methodology, for any micro-controller of his choice by adding xml description of controllers and a header file with the DrawCode specific functions. The application can be further modified by including an option to create user defined modules for peripherals

More »»

2017

Conference Paper

K. Jahnavi and Sivraj, P., “Teaching and learning robotic arm model”, in 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2017.[Abstract]


In this paper, the design and development of a robotic arm controller that enables use of a robotic arms as practical laboratory model for teaching and learning of robot arm algorithms is presented. The proposed system consists of OWI robotic arm with 5-Degrees Of Freedom (DOF) with DC motors for each joint movement, Arduino based control unit for control of arm motion and a MATLAB based Graphical User Interface (GUI) with kinematics algorithm at the backend providing user friendly environment for controlling the end-effector of robot arm remotely. The robotic arm is equipped with accelerometers to provide feedback to the microcontroller. The kinematics algorithm is implemented in MATLAB. The MATLAB based GUI, Arduino controller and accelerometers together with the robotic arm provide the practical laboratory model of teaching learning robotic arm platform. This robot arm also provides stand alone operation for pick and place application with the use of Arduino controller and accelerometers.

More »»

2017

Conference Paper

K. K. Kumari and Dr. Sindhu Thampatty K.C., “Analysis of magnetic fields due to transformer coils in plasma formation and fusion applications”, in 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy), Kollam, India, 2017.[Abstract]


The magnetic null is of greatest significance for plasma formation in any Fusion Reactor device. In Ideal case, the radial and vertical component of the magnetic field produced by the Ohmic transformer coil should be approximately zero at some specific location inside the vacuum vessel. Non-zero radial &amp; vertical component of the magnetic field within the plasma region acts as error field and causes difficulties in the gas breakdown. The error field effect can be compensated by placing the transformer coils in series with the solenoid coil. These coil positions must be estimated precisely for designed plasma current inception. This paper proposes a method to optimize the coil positions in order to obtain the null position at the described location inside the vacuum vessel. After optimal positioning of the coils, the magnetic field and plasma formation are analyzed using ANSYS, EFFI, and Poisson codes. The analysis is conducted at Plasma Research Lab. The results obtained with ANSYS simulation is validated with Analytical calculations.

More »»

2017

Conference Paper

S. Parvathy, Dr. Sindhu Thampatty K.C., and NAMBIAR, T. N. P., “Response of voltage source model of UPFC in an IEEE 5 bus system for power flow enhancement”, in 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy), Kollam, India, 2017.[Abstract]


The power system is overwhelmed with the load demand during peak hours. The Flexible AC Transmission Systems (FACTS) have better control on the power flow in an interconnected system. Unified Power Flow Controller (UPFC) is a FACTS device can improve the control of power flow in a transmission system. The IEEE 5 bus network is a benchmark system taken in this paper in order to check the response of UPFC on the power flow enhancement. UPFC is modeled in different ways to analyze power flow and voltage improvement at each bus. In this paper UPFC is modeled as a Voltage Source Model (VSM) and that will generate reference bus voltage and phase angle at different load conditions on the receiving end of UPFC. The variation between the voltage generated by VSM and actual voltage profile in the bus is injected in the line through an injection transformer. The entire system simulation shows that voltage stability of the system is getting improved and power flow through the system with UPFC is enhanced.

More »»

2017

Conference Paper

V. Balacoumarane, Karthik, B., Pranav, K. V. S., Sandeep, S. A., and Dr. Sindhu Thampatty K.C., “Design and implementation of PV system for a constant voltage operation”, in 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon), Bangalore, India, 2017.[Abstract]


Renewable energy source based distributed power generation systems are gaining popularity because of fast depletion of conventional sources of energy and also the environmental threats they are causing. Interfacing of renewable energy sources with the utility grid is achieved using power electronic converters. Among all the Renewable sources, solar power is the most effective because of the advances in the Photovoltaic industry. Since the solar power is mainly depending on environmental conditions, the large-scale integration of solar PV has a large impact on the system stability issues. In this paper scheme for stabilising the voltage at a constant level in PV connected system. Photovoltaic system to the gird for constant voltage operation is explained. The solar PV system consists of two-stages of conversion. The two stages are, boost converter and inverter. In first stage, controller is built across the boost converter which ensures a constant voltage to the DC-link capacitor. The algorithm is implemented using PIC16F877A microcontroller. Controller reads both input and DC-link voltages to minimise the error so as to maintain a constant output voltage. The second stage involves an inverter which is capable of providing a constant voltage across the load due to the constant DC-link voltage. An IRAM 136-1061a inverter is used and the gating pulses for the inverter is generated using PWM switching operation. The full system including the boost converter, the controller and inverter is tested various irradiances conditions and it has been observed that the system is able to provide constant voltage across the inverter output terminals for all these conditions. In this paper, a system to the integration of the Photovoltaic system to the grid is designed and implemented for a constant voltage operation.

More »»

2017

Conference Paper

S. Parvathy, Dr. Sindhu Thampatty K.C., and NAMBIAR, T. N. P., “Modeling and non linear control of STATCOM for VAR compensation in IEEE 5 bus system”, in 2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Bangalore, India, 2017.[Abstract]


The power transmission network and its effective utilization are the recent topic of interest. Flexible AC Transmission Systems (FACTS) devices are equipped in the transmission lines for control of real and reactive power flow. The reactive power compensation can be done with STATic COMpensator (STATCOM). The appropriate amount of reactive power generated by the STATCOM will improve voltage stability in the buses. The Non Linear Controller namely Feedback Linearization Controller (FBLC) is used for controlling the Voltage Source Converter of STATCOM. The closed loop control of STATCOM with FBLC using MATLAB/SIMULINK is described in this paper. The results shows that with the proposed controller, DC link capacitor voltage and AC coupling voltage of STATCOM are attained its desired value. The load flow analysis with STATCOM in IEEE 5 bus system shows that losses in the network are reduced and thus transmission efficiency is improved.

More »»

2017

Conference Paper

R. Mahalakshmi and Dr. Sindhu Thampatty K.C., “A fuzzy based adaptive controller for grid connected DFIG based windfarm for damping SSR oscillations”, in TENCON 2017 - 2017 IEEE Region 10 Conference, Penang, Malaysia, 2017.[Abstract]


Grid integrated wind energy conversion system is highly known among all renewable energy sources. Grid integrated wind farm undergoes many technical challenges. Wind farms need long transmission line for the grid integration. As long transmission line exhibits high inductive reactance, capacitive series compensation is required to improve the transmission capacity. Insertion of capacitive compensation in a line causes Sub Synchronous Resonance (SSR) Oscillations in the system. These oscillations may lead to a permanent damage in the turbine-shaft system. This paper proposes a novel fuzzy based adaptive controller for Rotor Side Converter (RSC) and Grid Side Converter (GSC) for damping SSR oscillations in a grid connected DFIG based wind farm. The paper describes the development of a mathematical model of the proposed system in detail and small signal stability for SSR oscillations is analyzed using Eigen value approach. Oscillation. Performance of the proposed controller is tested under varying operating conditions and it has been observed that the fuzzy based controller adopts the changes in the system operating conditions and gives satisfactory performance compared with conventional PI controller.

More »»

2017

Conference Paper

Dr. Sindhu Thampatty K.C. and Raj, P. C. R., “RTRL based adaptive neuro-controller for damping SSR oscillations in SCIG based windfarms”, in TENCON 2017 - 2017 IEEE Region 10 Conference, Penang, Malaysia, 2017.[Abstract]


As the global energy consumption is rising dramatically, wind energy is a prominent one among the renewable energy sources. The penetration of wind energy into grid is increasing day by day. In order to carry huge amount of wind power during the grid integration of large scale wind farms, high transmission line capability is demanded. In order to improve the power carrying capability of the transmission line and to improve the stability of the system, series compensation is the best practical solution. Series compensation can result in Sub-Synchronous Resonance (SSR) oscillations in the electrical system which will lead to damages in the system such as shaft failure. In this paper, a novel idea of using the Real Time Recurrent Learning (RTRL) based adaptive neuro controller is proposed for damping SSR oscillations in grid connected windfarms. The controller is trained in real time without a reference model. The effectiveness of the proposed controller is tested under varying series compensation, wind speeds and grid impedance conditions and it has been proved that the proposed controller performs far better than any other linear controllers.

More »»

2017

Conference Paper

A. Parol and Dr. Sindhu Thampatty K.C., “Design of Linear Quadratic Regulator (LQR) controller for the Mathematically Modeled Squirrel Cage Induction Generator based Wind farm for Sub-synchronous Resonance (SSR) Analysis”, in IEEE TENSYMP 2017 Technologies for Smart Cities, Le- Meridian, Cochin , 2017.

2017

Conference Paper

S. Parvathy, Dr. Sindhu Thampatty K.C., and Nambiar, T. N. P. P., “Analysis and modeling of UPFC: A comparison between power injection model and voltage source model”, in 2017 IEEE Region 10 Symposium (TENSYMP), Cochin, India, 2017.[Abstract]


The interconnected systems are equipped with Flexible AC transmission Systems (FACTS) for better control on power transfer capability and stability improvement. The operation of these devices can be explained with different modeling techniques. Unified Power Flow Controller (UPFC) is one of the FACTS device with multivariable control capability. Different load flow models have been investigated to study the impact of UPFC in load flow solution. Power injection model and voltage source based model of UPFC are used for study the effect of UPFC in an interconnected system. So this paper focuses on the performance analysis and comparison of these UPFC models in a standard IEEE 5 bus system.

More »»

2017

Conference Paper

K. Arya and Dr. Vijaya Chandrakala K. R. M., “Fuzzy logic controller based instantaneous p-q theory for power quality improvement”, in 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy), 2017.[Abstract]


This paper gives a solution for suppression in harmonics and compensates the reactive power present in a system. For the study, system considered for analysis is of three phase source feeding power to a non-linear and reactive loads. Diode bridge rectifier acts as non-linear load in parallel with a reactive load connected to the supply. Non-linear load creates problems on power quality and reactive power imbalance is created by reactive load. And, these issues can be mitigated through usage of power filters. Shunt Active Filter (SAF) with instantaneous reactive power control method is adopted in this work to mitigate the power quality issues. To maintain the DC link capacitor voltage constant, fuzzy logic controller is developed. The fuzzy logic controller with the instantaneous reactive power controls the DC link capacitor voltage thus would be helpful to suppress the source harmonics and reactive power compensation.

More »»

2017

Conference Paper

P. Kiran, Dr. Vijaya Chandrakala K. R. M., and NAMBIAR, T. N. P., “Day ahead market operation with agent based modeling”, in 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy), 2017.[Abstract]


This paper analyses the deregulated electricity market by using an open source software namely Agent based Modeling of Electricity Systems (AMES). DC Optimal Power Flow (DCOPF) method is used for calculating the real power flow during the market operation. The whole electricity market is managed by the Independent System Operator (ISO) which computes the hourly Locational Marginal Price (LMP) and commitments of power exchange for day-ahead market operation. For the analysis and demonstration, a 3 bus system is considered and market operation is illustrated.

More »»

2016

Conference Paper

Dr. Balamurugan S., Janarthanan, N., and Dr. Vijaya Chandrakala K. R. M., “Laboratory Model to Teach Surge Impedance Loading”, in 2016 - Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy, PESTSE 2016, 2016.[Abstract]


This paper explains the development of laboratory model to teach Surge Impedance Loading to the undergraduate students. Simulation software used for teaching power systems fails to give physical sense to the students. The scaled down model of transmission line is developed at the Electrical Engineering development of Amrita school of Engineering, Coimbatore. The flat voltage profile is observed in the line when the line is loaded to Surge Impedance Loading. Further the Surge Impedance Loading and phase shift are studied during series and shunt compensation. Shunt capacitor compensation improves only Surge Impedance Loading but increases the phase shift. Series capacitor compensation improves Surge Impedance Loading and also stability by decreasing the phase shift. © 2016 IEEE.

More »»

2016

Conference Paper

S. Selva Kumar, Joseph Xavier R, and Dr. Balamurugan S., “Small signal modelling of gas turbine plant for load frequency control”, in 2016 - Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy, PESTSE 2016, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Bengaluru, 2016.[Abstract]


Renewable energy and its conversion to electrical power is the present theme for many research problems. Bio mab shows lot of promise as a renewable source. Gas turbine plants fuelled by bio mab is one among many alternatives available to generate electrical power. Large signal mathematical models are used by researchers to analyse and simulate the operation of gas turbine plants in solitude. Gas turbine plants when operated with other conventional plants like thermal and hydro demands a small signal model for load frequency analysis and control. A suitable secondary PI controller for the model is developed and tuned using Ziegler Nichols' (ZN) method, Genetic Algorithm (GA) and Fuzzy Gain Scheduling (FGS). © 2016 IEEE.

More »»

2016

Conference Paper

R. Subhashree, Preethi, C. S., and Supriya, P., “Fault distance identification in transmission line using STFT algorithm”, in 2016 International Conference on Computer Communication and Informatics, ICCCI 2016, 2016.[Abstract]


This paper primarily aims in analyzing the performance of STFT algorithm in locating faults and tries to analyse its accuracy for mainly three conventional faults namely LL, LG, LLG faults and study variation in error for different fault times and fault location distances using MATLAB software. Various algorithms have been devised for fault classification of transmission line in the research field. However, completely optimized and efficient solution for fault identification and location is yet to be materialized. The computation time taken to perform the STFT algorithm was also estimated. The novelty of the work lies in using STFT for fault location as STFT has already been used for fault classification in literature. The least error achieved was marginally low. The test was conducted for 300km transmission line at 120km of fault distance. More »»

2016

Conference Paper

E. Jacob and Sivraj, P., “Performance analysis of MANET routing protocols in smart city message passing”, in 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016.[Abstract]


A city wide communication network, catering various applications, can be established using wireless sensor networks which collect data, process it and take relevant actions to provide solutions for smart city implementation. Challenges faced in a smart city network include variation in area covered by the network for different applications, non-uniform node distribution, increase in the number of messages passed, use of multiple communication technologies and also heterogeneity in nodes and messages. The various domains of smart city are studied and a few applications were implemented in each of them. The paper, through survey provides a summary of various sensor network solutions in smart city. The paper brings out challenges in message passing by considering applications like cab sharing, ambulance services and other emergency services of various domains that use real time traffic data service provided by smart traffic domain to navigate efficiently. Message passing for this service is simulated in ns2 using MANET routing protocols and their effectiveness is studied. More »»

2016

Conference Paper

P. Sivraj, Nithin S, and Dr. Sasi K. K., “Smart Microgrid Simulator”, in International Conference on Smart Grid and Smart Cities , India , 2016.

2016

Conference Paper

Nithin S, Sivraj, P., and Dr. Sasi K. K., “Aggregation of Smart Facilities in a Smart City – A case study”, in International Conference on Smart Grid and Smart Cities – India Smart Grid Week, India, 2016.

2016

Conference Paper

Sreelekshmi R.S., Prasad, A., and Dr. Manjula G. Nair, “Control and operation of microgrid connected Hybrid Energy Storage System”, in 2016 International Conference on Energy Efficient Technologies for Sustainability, ICEETS 2016, 2016, pp. 356-360.[Abstract]


The high penetration of the Renewable Energy Sources (RES) can create stability, reliability and power quality problems in the main electrical grid due to their stochastic nature. Microgrids can be analysed as a solution capable of guaranteeing a controlled injection of energy generated by the renewable energy technologies. The use of storage system in a MG plays an essential role in order to ensure energy balance and in maintaining high power quality. Due to the technical limitations of the currently available storage systems, it is necessary to use more than one storage technology to satisfy the requirement of microgrid applications. In order to satisfy the above constraints, this paper proposes the association of a supercapacitor (SC) and a lithium ion battery in a Hybrid Energy Storage System (HESS). A novel control strategy is adopted for the control of the HESS. Hierarchical control is used for the control of the inverter in islanding and grid connected mode. Self synchronization control ensures smooth transition between islanded and grid connected modes. Simulation of the system is carried out in MATLAB/Simulink. More »»

2016

Conference Paper

R. Aniketh, Manohar, E. B., Yazwa, G. R. S. P. R., M. Nithya, and Dr. Rashmi M. R., “A decentralized fault-tolerant weights based algorithm for coordination of swarm robots for a disaster scenario”, in 2016 IEEE Annual India Conference, INDICON 2016, 2016.[Abstract]


Multi-robot systems are reliable and faster at searching and retrieving targets in times of crises as compared to single-robot systems. They are also better compared to manned missions as they are more resistant to hazardous conditions. In this work a method to deploy a swarm of robots to scan and retrieve the targets stuck in a disaster situation is deliberated. The multi-robot system developed is fault tolerant and follows a complete decentralized approach. In the proposed work, the basic elements in a real time search and rescue mission such as exploration of disaster area, target and obstacle detection, path-planning to reach the target in a coordinated way and tolerance for a few possible faults are accomplished using the 'weights based algorithm' and the prototype testing done mimics the real time scenario. Communication among the robots in the swarm is implemented by using X-bee modules. The robots search the arena till either all the targets are found or the entire arena is explored and update a common map which renders the approach a decentralized behavior.

More »»

2016

Conference Paper

B. S. V. Prabhu and Dr. Suresh M., “Applications of solar lantern systems-A review”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2016.[Abstract]


Use of renewable energy sources in India is growing at a faster pace. There is also a paradigm shift from conventional to renewable sources in energy sector. Out of the 180 million rural households in the country, nearly 43 percent still use kerosene as the primary fuel for lighting. Kerosene-based lighting devices are not a desirable option for several reasons such as poor quality of light, risks of indoor fire hazards and health issues etc. Solar lantern is a better alternative in terms of quality of illumination, durability and versatility of use. In this paper, we attempt to study the applications of solar lanterns in different areas of the society and their advantages over other traditional sources of lighting.

More »»

2016

Conference Paper

Lekshmi R. R., K., H., P., S., Raj, V., and Narula, A., “Fuzzy gain schedule based load frequency control of multi area thermal system under deregulated environment”, in 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), 2016.[Abstract]


Restructured power system creates independent utilities like generation, transmission, distribution companies and independent system operator. In the deregulated system, demand of each DISCO is met by many GENCOs. The system operator that takes care of the stability and reliability of the system offers many ancillary services. One of the ancillary services responsible for maintaining the system frequency and tie line power within limits is the load frequency control. During contract violation, the governor re-schedules the generator output to meet the un-scheduled demand. However, the frequency and tie line power deviates from the nominal value. These parameters are brought back within limits with the help of secondary proportional integral controller. The article applies the concept of fuzzy gain scheduling method to tune the secondary controller. The fast and effective response is checked and validated using performance indices.

More »»

2016

Conference Paper

R. Mahalakshmi, Viknesh, J., and Dr. Sindhu Thampatty K.C., “Mathematical modelling of grid connected Doubly Fed Induction Generator based wind farm”, in 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Trivandrum, India, 2016.[Abstract]


The day by day increase in electricity demand and depletion of fossil fuels has made the world to think about the renewable energy sources such as solar, wind etc., This paper focuses on the configuration of large Doubly Fed Induction Generator (DFIG) based wind farm connected into the grid. Nowadays DFIGs are more focused in the wind energy conversion systems due to its own advantages. This paper explains the development of a mathematical model of DFIG driven by wind turbine. The turbine generator set is considered as a two mass model and development of the same is discussed. Mathematical modelling of wind turbine, two mass drive train and grid connected DFIG machines are developed by using the dynamic equations. Dynamics of DFIG Rotor Side Converter (RSC) and Grid Side Converter (GSC) are analyzed for further studies with control. The MATLAB simulation results for a 3730W wind farm is explained in this paper, and analyses of various unbalanced conditions on wind farm has been discussed such as rotor short circuit, grid voltage dip and sudden drop in wind speed. Similarly, different rated DFIG machines can be modeled using different machine specifications with the help of developed model.

More »»

2016

Conference Paper

R. Mahalakshmi, Viknesh, J., and,, and Dr. Sindhu Thampatty K.C., “Fuzzy Logic based Rotor Side Converter for constant power control of grid connected DFIG”, in 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Trivandrum, India, 2016.[Abstract]


Technological advancements has made production of electrical energy more efficient and minimized the consumption of non-renewable sources of energy. Wind energy has been harvested for more than a decade and has been considered to be one of the cleaner methods of producing electricity. This paper focuses on wind electric system connected to the grid. There are different types of wind electric generators such as fixed speed generators (synchronous generators) and variable speed generators which are squirrel cage and slip ring induction generators. Variable speed induction generators are widely chosen in wind electric system. In variable speed induction generators, doubly fed induction generators are mostly used because its rotor transfers the slip power when there is high wind speed velocity, and voltage is injected if the wind velocity is less. This paper proposes a method for controlling the stator power output of DFIG at speeds below synchronous speed using a novel fuzzy logic controller for Rotor Side Converter(RSC). The fuzzy logic rule base is formulated based on wind turbine speed and it controls the amount of rotor/slip power to be injected at appropriate slip frequency by varying the reference signal of the PWM generator, hence maintains the constant power flow from stator to grid. The fuzzy based RSC controller is designed and implemented in the laboratory.

More »»

2016

Conference Paper

R. Mahalakshmi and Dr. Sindhu Thampatty K.C., “Damping of Sub-Synchronous Oscillations in DFIG Based Wind farms”, in IEEE International Conference TENCON 2016, Singapore, 2016.

2016

Conference Paper

A. M.J, Parvathy, S., and Dr. Sindhu Thampatty K.C., “Feedback Linearization Control Technique for Uni_ed Power Flow Controller”, in Second International Conference on Power, Circuit and Information Technologyies ICPCIT 2016, Rajarajeswari College of Engineering Bangaluru, Karnataka , 2016.

2015

Conference Paper

K. N. and Dr. Balamurugan S., “Series Compensation : Application Consideration and Automated Solutions for Congestion Management”, in IEEE International Conference on Technological Advancement in Power and Energy, Amrita School of Engineering, Amritapuri, 2015.

2015

Conference Paper

T. Rahul, Sahoo, B. Datta, Arya, S., Parvathy, S. J., and Vulligaddala, V. B., “A Wide Dynamic-Range Low-Power Signal Conditioning Circuit for Low-Side Current Sensing Application”, in Proceedings of the IEEE International Conference on VLSI Design, 2015, vol. 2015-February, pp. 265-270.[Abstract]


This paper proposes a wide dynamic-range low-power signal conditioning circuit for low-side current sensing application. The proposed architecture uses a double sampling technique for switched capacitor programmable gain amplifier (SC-PGA) thus enabling the PGA to work at low frequency. However, the analog-to-digital converter (ADC), which digitizes the amplified signal works at high frequency to achieve high dynamic range. The double sampling technique relaxes the slew rate and settling requirement of the op amp in the PGA. The switched capacitor implementation obviates the need for explicit level-shifting circuit while enabling rail-to-rail input common mode. The closed loop SC-PGA architecture is very robust to gain drift due to temperature and supply voltage variation. The design incorporates correlated double sampling technique to overcome offset and flicker noise. The analog-to-digital converter used in this design is a multi-bit second order ΔΣ-ADC [14]. The circuit is implemented in AMS 0.35 μm CMOS process with 3.3 V supply. Simulations show that the overall system, i.e., PGA and ΔΣ-ADC, achieves a dynamic range in excess of 80 dB while consuming 2 mA. © 2015 IEEE.

More »»

2015

Conference Paper

R. Nair, Mahalakshmi, R., and Dr. Sindhu Thampatty K.C., “Performance of three phase 11-level inverter with reduced number of switches using different PWM techniques”, in International Conference on Advancements in Power and Energy (TAP Energy), 2015 , Kollam, 2015.[Abstract]


As compared to conventional inverter topologies like diode clamped and capacitor clamped inverters, the cascaded multilevel inverter has lesser harmonics as well as lower switching stress. The cascaded topology has more number of power switches leading to greater heat losses, larger size, higher cost and more gate drive circuitry. The proposed configuration contains less number of switches and produces lesser harmonics in the output voltage than the cascaded topology. A comparison between four different types of pulse width modulation (PWM) techniques, namely, In-phase disposition (IPD), Anti-phase disposition (APD), Carrier Overlap (CO) and Variable Frequency (VF) PWM methods, has been done. The results have been verified through simulation study in MATLAB/Simulink in order to select the best PWM method that provides minimum THD in the output voltage. An LC filter has been designed to improve the harmonic profile.

More »»

2015

Conference Paper

Dr. P. Kanakasabapathy, Gopal, V. K., V, A., Mohan, A., and Reddy, E. H. S., “Energy management and control of solar aided UPS”, in Advancements in Power and Energy (TAP Energy), 2015 International Conference on, Kollam, India, 2015.[Abstract]


Solar photovoltaic (PV) powered UPS system requires a smart control and energy management techniques along with battery charger for efficient power transfer and energy storage. This paper presents the energy management system and controller design of the solar aided UPS implemented with the half-bridge converter. Designed DC-DC converter employs the voltage mode control using Maximum Power Point Tracking (MPPT) and the battery charging control loop. The control objective is to balance the power · ow from the PV module to the battery and the load such that the PV power is utilized effectively and the battery is charged with three charging stages. Unlike conventional UPS systems, the control technique prioritizes solar power over grid to charge the battery. To improve the battery efficiency and life time different SOC levels have been chosen and energy management is done by monitoring the SOC.

More »»

2015

Conference Paper

R. R. Raj and Shanmughasundaram, R., “Simulation of safety critical applications for automotive using multicore scheduling”, in 2015 International Conference on Control Instrumentation Communication and Computational Technologies, ICCICCT 2015, 2015, pp. 12-16.[Abstract]


Technology development has paved the way for enhancement of safety features in a car which has become an important buying factor for customers. Such enhancement demands more computing power. The Electronic Control Units with multicore architecture can be a solution. This offers parallelism which improves the response time of the system. In this paper, Electronic Stability Control and Antilock Braking Systems are the two safety critical applications considered for improving the response time through multicore implementation. Data dependencies may occur between the tasks of different cores. One way to overcome the dependencies is through the shared memory which requires inter-process communication protocols such as mail box and queues. In this paper, the mailbox is used for storing the common parameter between the two applications which is the value of brake torque for each wheel. The task set is developed for these applications and scheduled using dock-driven scheduling algorithm. The TORCHE toolbox in Matlab is used for simulating the task set in single core and multicore architectures of ECU. The simulation results indicate the significant improvement in temporal characteristics of task execution in multicore when compared with the single core implementation. More »»

2015

Conference Paper

N. Devi M. R, ,, G. Sabari, A., Krishna, D. Ravi, Prasathe, A., Harish, K., and N Mohankumar, “Malicious Circuit Detection for Improved Hardware Security”, in The Third International Symposium on Security in Computing and Communications (SSCC’15), 2015.

2015

Conference Paper

A. Dhall, Dr. Oruganti Venkata Ramana Murthy, Goecke, R., Joshi, J., and Gedeon, T., “Video and Image Based Emotion Recognition Challenges in the Wild: EmotiW 2015”, in Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, New York, NY, USA, 2015.[Abstract]


The third Emotion Recognition in the Wild (EmotiW) challenge 2015 consists of an audio-video based emotion and static image based facial expression classification sub-challenges, which mimics real-world conditions. The two sub-challenges are based on the Acted Facial Expression in the Wild (AFEW) 5.0 and the Static Facial Expression in the Wild (SFEW) 2.0 databases, respectively. The paper describes the data, baseline method, challenge protocol and the challenge results. A total of 12 and 17 teams participated in the video based emotion and image based expression sub-challenges, respectively. More »»

2015

Conference Paper

S. S. Rajagopalan, Dr. Oruganti Venkata Ramana Murthy, Goecke, R., and Rozga, A., “Play with me - Measuring a child's engagement in a social interaction”, in 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), 2015.[Abstract]


Due to the challenges in automatically observing child behaviour in a social interaction, an automatic extraction of high-level features, such as head poses and hand gestures, is difficult and noisy, leading to an inaccurate model. Hence, the feasibility of using easily obtainable low-level optical flow based features is investigated in this work. A comparative study involving high-level features, baseline annotations of multiple modalities and the low-level features is carried out. Optical flow based hidden structure learning of behaviours is strongly discriminatory in predicting a child's engagement level in a social interaction. A two-stage approach of discovering the hidden structures using Hidden Conditional Random Fields, followed by learning an SVM-based model on the hidden state marginals is proposed. This is validated by conducting experiments on the Multimodal Dyadic Behaviour Dataset and the results indicate a state of the art classification performance. The insights drawn from this study indicate the robustness of the low-level feature approach towards engagement behaviour modelling and can be a good substitute in the absence of accurate high-level features. More »»

2015

Conference Paper

Dr. Oruganti Venkata Ramana Murthy and Goecke, R., “Injury Mechanism Classification in Soccer Videos”, in 2015 IEEE International Conference on Computer Vision Workshop (ICCVW), 2015.[Abstract]


Soccer is a very popular sport but also has a high rate of injuries. In this paper, player falling events in soccer videos are classified into five major categories. These categories have been identified by soccer coaches as the major mechanisms behind player injuries. Automatic detection of these events will be useful to coaches to plan specific training modules and to impart individual training to the players that will enhance their physical strength and also their playing style. A Bag-of-Words framework is used and a baseline classification accuracy is established that will serve as a reference point for further work. More »»

2015

Conference Paper

and Dr. Supriya M., “Downlink Resource Management Scheme for Next Generation Wireless Networks with Rank Scheduling”, in SMART GRID Technologies, August 6-8, 2015, 2015.

2015

Conference Paper

S. Selva Kumar, R. Joseph Xavier, and Dr. Balamurugan S., “Fuzzy Gain Scheduling for Load Frequency Control of Single Area Multi Source Hydro-Thermal- Gas Turbine System”, in 2nd International Conference on Intelligent Computing and Applications ICICA-2015, KCG College of Technology, Chennai, India, 2015.

2014

Conference Paper

D. Ea Soman, Vikram, Kb, Krishna, Ra, Gabrysch, Ma, Kottayil, S. Kb, and Leijon, Ma, “Analysis of three-level buck-boost converter operation for improved renewable energy conversion and smart grid integration”, in ENERGYCON 2014 - IEEE International Energy Conference, Dubrovnik, 2014, pp. 76-81.[Abstract]


The increased smart grid integration of renewable energy sources demands high power handling and wide controllability for the enabling power conversion technologies. The conventional energy conversion techniques are inadequate to efficiently handle the highly varying nature of renewable energy sources like wave, solar, tidal and wind. The present work examines the advantages of using a three-level buck-boost DC-DC converter to aid three-level neutral-point-clamped inverter based grid integration. There are two main reasons for using this converter. It can provide the conventional buck-boost capability at higher power levels for absorbing and conditioning the renewable source output. Besides, it can be used as a voltage balancing device to satisfy the input requirement for the three-level neutral-point-clamped inverter. The work includes complete operating range analysis of the converter for the combined buck-boost action and voltage balancing effects to understand its suitability for various applications. The converter switching modes of operation are also presented in detail along with essential example waveforms. The final results show good controllability bandwidth for the converter which makes it an attractive solution for smart grid integration of renewable energy sources. © 2014 IEEE.

More »»

2014

Conference Paper

R. Prem, Manmadhan, S., and V. S. Kirthika Devi, “Wireless control of DC-DC converter”, in 2014 Power and Energy Systems Conference: Towards Sustainable Energy, PESTSE 2014, Bangalore, 2014.[Abstract]


This paper aims at the analysis and design of a new DC-DC multi output boost (MOB) converter using which the output can be shared between different loads. Several single output power supplies can be replaced by this configuration. The duty ratio of the three pulses is varied accordingly to the key pressed in the keypad. The pulses are wirelessly transmitted and its range is found to be depended on antenna height. This paper deals with the family of single inductor multi output DC-DC converter. The drawback of conventional transformer based multi output DC-DC converters such as high cost and large volume is avoided using a single inductor boost type dual output DC-DC converter using wireless control. © 2014 IEEE.

More »»

2014

Conference Paper

V. D. Prasanna and Dr. Sasi K. K., “Energy-aware Intelligent Controller for Dynamic Energy Management on Smart Microgrid”, in 2014 Power and Energy Systems Conference: Towards Sustainable Energy, PESTSE 2014, Bangalore, 2014.[Abstract]


A Dynamic Energy Management (DEM) controller which is capable of taking decisions based on the status of the grid-connected smart microgrid has been developed using Support Vector Machine (SVM) and Artificial Neural Networks (ANN). The proposed control strategy involves the decisions for the dynamic charge-discharge transactions in the energy storage systems like battery and pumped hydro (PH) units connected to the smart microgrid in order to maintain a real time balance of generation and load. A comparison has been made based on the realizations of both SVM model and ANN model on SPARTAN 3AN Field Programmable Gate Array (FPGA) and the results show that SVM implementation is better than ANN implementation. The projected DEM system when tested with the existing laboratory model of a smart microgrid results in sustainable supply of power as the SVM based DEM controller monitors power flow in the lines and provides an optimal solution. © 2014 IEEE.

More »»

2014

Conference Paper

Dr. Balamurugan S., NAMBIAR, T. N. P., Janarthanan, N., and Dr. Vijaya Chandrakala K. R. M., “Laboratory model to teach power system stability”, in 2014 IEEE International Conference on MOOC, Innovation and Technology in Education (MITE), 2014.[Abstract]


To teach and demonstrate the Power System Stability aspects to the undergraduate students, a laboratory model has been developed. Computer based simulation software's are used to teach different aspects of power system by most of the Institutions. These simulation studies often do not demonstrate the physical sense of power system behavior to students. Moreover, making the students to visualize the effect of instability is a very big challenge faced by the teaching community. This paper describes the experimental set up built in the Electrical Engineering Department of Amrita School of Engineering, Coimbatore, consisting of an alternator connected to infinite bus through parallel transmission lines. In this experimental setup, the generator is brought to instability by changing the operating conditions. Further, the oscillation is controlled and brought back to stability by controlling the excitation and line reactance. This gives the clear idea about stability and its enhancement to the students.

More »»

2014

Conference Paper

P. M Sailesh, C Kumar, V., Cecil, B., Deep, M., and Sivraj, P., “Smart soldier assistance using WSN”, in Embedded Systems (ICES), 2014 International Conference on, 2014.[Abstract]


The paper presents the development of a system which will help wirelessly monitor the health parameters of a soldier and also send and receive messages wirelessly from the base station computer. The system must also detect reduced vitals and alert the base station along with the GPS location so that a rescue team can be sent. The system comprises of a biosensor signal conditioning module, a GPS module, a keypad and a LCD. These are interfaced with the Stellaris LM4F120XL Launchpad, which in turn broadcasts messages wirelessly via the EZ430-RF2500 wireless module. These messages are sent to all the EZ430-RF2500 modules in the locality. A LabVIEW program has been developed to act as the central commanding station. This will process all the data from the individual soldiers, display the data and perform the functions mentioned. This will help in strategic planning of military missions and also to reduce casualties

More »»

2014

Conference Paper

N. S., Sivraj, P., Dr. Sasi K. K., and Lagerstöm, R., “Development of a Real Time Data Collection Unit for distribution network in a smart grid environment”, in 2014 POWER AND ENERGY SYSTEMS: TOWARDS SUSTAINABLE ENERGY, 2014, pp. 1-5.[Abstract]


This paper proposes a Real Time Data Collection Unit (RTDCU) to be used in the distribution side of a smart grid for real time data collection. The RTDCU unit uses Discrete Fourier Transform (DFT) based approach to compute the voltage and current phasors and frequency of the power system signals. The design, development and testing of such a system is done for a 5-bus micro grid simulator which represents a scaled down model of approximately 25km2 grid with a peak demand of 15MW. The RTDCU unit is first simulated and tested in MATLAB environment using synthetic signals and the correctness is ensured. The unit is then implemented in hardware in a dsPIC30f4011 microcontroller and tested for different loads. The future scope of the unit and the ways to improve the performance and synchronized data collection are also discussed. More »»

2014

Conference Paper

A. Aslam C and Sivraj, P., “Design and implementation of a Data Concentrator (DC) for inter DC communication network for smart micro grid”, in International Conference on Smart Electric Grid, KL University, 2014.

2014

Conference Paper

S. T. V and Sivraj, P., “Simulation and Analysis of Communication Technology for a Smart Grid Framework”, in International Conference on Communication and Computing, 2014.[Abstract]


The concept of smart grid arises in order to address the issues prevailing in present power grid. The process of embedding smartness into the grid requires a lot of research work. To make existing power grid smart, bidirectional data and power flow is essential. There are complications with communication architecture, selection of a feasible communication technology, economy and merging concepts of wireless sensor networks (WSN) into power grid. This paper deals with finding a communication technology for a five bus smart micro power grid simulator through simulation in ns2 for protocols like IEEE 802.11, IEEE 802.15.4 and a heterogeneous network with IP and WLAN through comparison and analysis of performance metrics.

More »»

2014

Conference Paper

G. N. and Dr. Vijaya Chandrakala K. R. M., “A novel technique for optimal vehicle routing”, in 2014 International Conference on Electronics and Communication Systems (ICECS), 2014.[Abstract]


This paper proposes a novel approach in finding an optimal solution for vehicle routing. The intention here is to find the shortest time path between different points. Dijkstra's algorithm is a very popular technique used in communication networks for data routing and in path planning of robots. Normally the implementation of Dijkstra's algorithm involves initialization of weights depending upon a particular cost metric, namely, distance. Based on an analysis of these weights, a choice of right path is made. This conventional approach states that the shortest path will take minimum time to travel. However this may not always be true. Even depending on the traffic conditions prevailing at that particular instant, the time taken may vary. The proposed work takes into consideration the traffic density in a particular path which influences the time taken for travel and then suggests an optimal path. The results are validated using concepts of Object Oriented Programming and tested in a hardware environment using PIC16F877a micro controller. More »»

2014

Conference Paper

N. Gayathri and Dr. Vijaya Chandrakala K. R. M., “Embedded driver assistance system for effective dynamic vehicle routing”, in 2014 International Conference on Embedded Systems (ICES), 2014, pp. 182-187.[Abstract]


This paper proposes a prototype of a system that considers the real time traffic scenario on the road to implement dynamic vehicle routing. Conventionally, a path which is shorter in distance is considered to take minimum travel time. However, this need not always be true. Depending upon the traffic density prevailing on the road at the given instant, the travel time may vary. The proposed system is developed with the help of a data fusion algorithm. The data fusion algorithm is prepared based on the information obtained from a mathematical model developed using Dijkstra's Algorithm and from Image Processing based on real time scenario. The entire system is made stand alone by using eBox. At the end of computation, the system provides assistance to the driver in choosing the path that would take minimum time for travel.

More »»

2014

Conference Paper

D. Ea Soman, Krishna, Ra, Leijon, Ma, Vikram, Kb, Dr. Sasi K. K., Vitoi, L. Ac, Oliveira, J. Gc, and Kumar, S. Sd, “Discontinuous conduction mode of a three-level boost DC-DC converter and its merits and limits for voltage cross regulation applications”, in Proceedings, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, 2014, pp. 4268-4272.[Abstract]


<p>Distributed generation and smart grid integration of renewable energy sources introduce a lot of challenges for the enabling power electronic converter technology. Some of these challenges include wide controllability range, high power handling and good reliability. Three-level boost converter is one of the attractive solution for applications requiring voltage cross regulation such as three-level neutral point clamped inverter based grid integration of renewable sources. The present work shows the advantages and disadvantages of using discontinuous conduction mode of a Three-level boost converter for voltage cross regulation. The converter working principle, modes of operation and operating cases are listed briefly. The simulation results compare the DCM and CCM cross regulation effects. Based on these results, the controllability range of the converter is analyzed to understand the suitability of the converter for various applications. © 2014 IEEE.</p>

More »»

2014

Conference Paper

V. Vineeth, N. Radhika, and V, V., “International conference on emerging trends in Elsevier publications”, 2014.

2014

Conference Paper

N. Radhika, .V.V, V., and .V.Vanitha, D., “Fault Management for a secure smart grid system”, in International conference on emerging trends in electrical Engineering, (ICETREE 14(1-5)), Elsevier 2014, 2014.

2014

Conference Paper

D. Ghose, “An algorithm for a digital audio format to simulate improvisations in recorded music”, in 2014 International Conference on the IMpact of E-Technology on US, IMPETUS 2014, 2014, pp. 29-33.

2014

Conference Paper

Dr. Sindhu M. R., Aneesh, P., Nair, M. G., and Nambiar, T. N. P., “Dynamic Harmonic and Reactive Power Compensation with an Adaptive Shunt Active Filter for Variable Speed Induction Motor Drive”, in International Journal of Power Electronics and Drive Systems, 2014, vol. 4, p. 508.[Abstract]


Major portion of nonlinear loads in industries are contributed by variable speed drives because of their desirable features such as energy saving, smooth control, flexible operation and fast response. These electric drives introduce large amount of current and voltage harmonic distortions at the point of common coupling. These distortions are propagated throughout the system and affect all other loads connected in the system. Hence these distortions are to be mitigated with suitable harmonic filters installed near to the respective load terminals. This paper presents an effective ANN based digital controller for shunt hybrid harmonic filter to provide instantaneous harmonic and reactive compensation. The performance of the adaptive shunt hybrid filter is verified by simulation and experimental studies under steady state and dynamic conditions. The results show that it is an effective, flexible and low rated hybrid filter configuration More »»

2014

Conference Paper

Dr. Sindhu M. R., S, K. P., and Nambiar, T. N. P., “Analysis, Estimation and Mitigation of Source Harmonics, Interharmonics in Low Frequency Inductive Loads”, in Proceedings of InternationalConference on Innovations in Information Embedded and Communication Systems , 2014.

2014

Conference Paper

N. R. Prasadh and Dr. Anju Pillai S., “Measurement of current and power consumption in the order of milli-watt resolution in processor core level”, in Circuit, Power and Computing Technologies (ICCPCT), 2014 International Conference on, 2014.[Abstract]


The increasing popularity of low power applications has resulted in the need for implementing power consumption reduction techniques. Measurement of power consumption has gained importance due to the fact that the measurement of total power consumed may result in exploring newer mechanisms for reducing the power consumption of the system. Devising appropriate po w e r consumption reduction techniques for an application becomes possible only with a correct knowledge of the amount of power consumed by different modules of the system. This work presents the design and development of a prototype module for power consumption measurement which could be used on core level of a system. The main objective the work includes power measurement of the processor core while executing different application tasks and impact of supply voltage and operating frequency on power consumption measurement.

More »»

2014

Conference Paper

Dr. Oruganti Venkata Ramana Murthy, Radwan, I., and Goecke, R., “Dense body part trajectories for human action recognition”, in 2014 IEEE International Conference on Image Processing (ICIP), 2014.[Abstract]


Several techniques have been proposed for human action recognition from videos. It has been observed that incorporating mid-level viz. human body and/or high-level information viz. pose estimation in the computation of low-level features viz. trajectories yields the best performance in action recognition where full body is presumed. However, in datasets with a large number of classes, where the full body may not be visible at all times, incorporating such mid- and high-level information is unexplored. Moreover, changes and developments in any stage will require a recompute of all low-level features. We decouple mid-level and low-level feature computation and study on benchmark action recognition datasets such as UCF50, UCF101 and HMDB51, containing the largest number of action classes to date. Further, we employ a part-based model for human body part detection in frames statically, thus also investigating classes where the full body is not present. We also track dense regions around the detected human body parts by Hungarian particle linking, thus minimising most of the wrongly detected body parts and enriching the mid-level information. More »»

2014

Conference Paper

Dr. Oruganti Venkata Ramana Murthy and Goecke, R., “The Influence of Temporal Information on Human Action Recognition with Large Number of Classes”, in 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2014.[Abstract]


Human action recognition from video input has seen much interest over the last decade. In recent years, the trend is clearly towards action recognition in real-world, unconstrained conditions (i.e. not acted) with an ever growing number of action classes. Much of the work so far has used single frames or sequences of frames where each frame was treated individually. This paper investigates the contribution that temporal information can make to human action recognition in the context of a large number of action classes. The key contributions are: (i) We propose a complementary information channel to the Bag-of- Words framework that models the temporal occurrence of the local information in videos. (ii) We investigate the influence of sensible local information whose temporal occurrence is more vital than any local information. The experimental validation on action recognition datasets with the largest number of classes to date shows the effectiveness of the proposed approach. More »»

2014

Conference Paper

Dr. Supriya M., Sangeeta, K., and Patra, G. K., “Estimation of Trust Values for Varying Levels of Trustworthiness Based on Infrastructure As a Service”, in Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing, New York, NY, USA, 2014.

2014

Conference Paper

A. S. and Dr. Supriya M., “Schemes for Providing Routing Security in MANET - A Survey”, in International Conference on Recent Innovations in Electrical, Electronics, Computer and Mechanical Engineering (ICRIEECME 2014), Bengaluru, 2014, vol. 2, pp. 99–103.

2014

Conference Paper

Dr. Supriya M., K, S., and , “Comparison of Trust Values using Triangular and Gaussian Fuzzy Membership Functions for Infrastructure as a Service”, in International Conference on ‘Advances in Communication, Network and Computing, CNC 2014, Chennai, 2014.[Abstract]


Cloud computing has emerged as a paradigm to deliver on demand resources to enable the customers with access to their infrastructure and application services on a subscription basis. In recent times, increasing number of people carry out variety of different activities on the cloud. Two important issues that arise in cloud computing relate to storing and securing data, and monitoring the use of the cloud by the service providers. Trust helps to build this consumer confidence in such open and often anonymous environments. It provides a reliable environment for customers or businesses to carry out transactions with cloud providers. The amount of trust that the trusting agent has in the trusted agent is measured by a Trustworthiness scale. Trustworthiness is determined by the trust levels specified as numeric or non-numeric values. Trust is one of the most fuzzy, dynamic and complex concepts in both social and business relationships. In this paper, a hierarchical trust model has been used to compare the trust values of various cloud service providers for five levels of trustworthiness using triangular and Gaussian fuzzy membership functions based on Infrastructure as a Service.

More »»

2014

Conference Paper

V. Vijayan, Mini Sujith, and Manjunath, H. V., “Analysis and Implementation of a High Boost DC-DC Converter for Renewable Energy Power Systems”, in Emerging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD), 2014 Annual International Conference on, 2014.[Abstract]


A high conversion ratio dc-dc converter suitable for renewable energy applications has been investigated and presented here. A high-boost dc-dc converter is designed with high voltage conversion ratio for fuel cell or photovoltaic systems. The proposed system consists of a current-fed half bride at the input side, an active-clamp circuit and an output voltage-doubler with three stages of boosting operations.

More »»

2014

Conference Paper

Mini Sujith, Anu, K. M., and Dinesh, M. N., “HFSI—A Promising Solution to Very Low Speed Issues in DTC-SVM Induction Motor Drive”, in Emerging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD), 2014 Annual International Conference on, 2014.[Abstract]


The stator flux and electromagnetic torque are directly controlled in a DTC system using space vector modulation technique. In DTC, torque and flux ripples increases at low speeds. A DTC-SVM induction motor drive at very low speeds is investigated here and High Frequency Signal Injection (HFSI) method is adopted to mitigate the low speed issues. In this method a sinusoidal wave of small amplitude and high frequency is injected.

More »»

2014

Conference Paper

S. Selva Kumar and Anju Harshan N, “EOG based Eye Motion Tracking System”, in ICC 2014, Bangalore, India, 2014.

2014

Conference Paper

S. Balamurugan, Janarthanan, N., Dr. Vijaya Chandrakala K. R. M., and Lekshmi R. R., “Laboratory Model for Teaching Real Power Flow Control in Transmission Line”, in 2014 IEEE Sixth International Conference on Technology for Education, 2014.[Abstract]


This paper explains the experiments developed in the laboratory to teach undergraduate students the different aspects of power system operation and control. Simulation software are used in most of the colleges to teach different aspects of power system. Students feel difficult to understand the power system behavior in physical sense. This paper describes a model power system built in the Electrical Engineering Department of Amrita School of Engineering, Coimbatore. The model consists of two bus system connected by two parallel transmission lines. The power flow in the transmission line is controlled by varying voltage magnitude, line reactance, passive and active series compensation.

More »»

2013

Conference Paper

Va Aiswarya and Prakash, N. Kb, “Wind turbine instrumentation system using LabVIEW”, in c2013 IEEE Global Humanitarian Technology Conference: South Asia Satellite, GHTC-SAS 2013, Trivandrum, Kerala, 2013, pp. 218-222.[Abstract]


High quality measuring equipment ensures a successful wind measurement campaign. Inaccurate wind measurements result in losses of seven digit economic figures. Wind monitoring is very essential in wind industry. As wind is intermittent in nature, continuous monitoring is needed for wind potential assessments prior to setting up a wind park and for Wind Park monitoring once the wind park is in operation. In this paper development of a system to record and analyze parameters like wind speed, wind direction, pressure and temperature using LabVIEW is reported. Interfacing is done using data acquisition system. Also current and voltage from utility feeder are also monitored to measure power and power factor. © 2013 IEEE.

More »»

2013

Conference Paper

G. Ravikrishnan, Kiran, P., and Dr. P. Kanakasabapathy, “Internal fault discrimination in power transformers using curvelet transform”, in 4th International Youth Conference on Energy IYCE 2013, Siofok, Hungary, 2013.[Abstract]


This paper presents the analysis and development of a new digital differential protection scheme for three phase power transformers. The proposed scheme extracts the high frequency information hidden in the differential as well as the fault currents to identify internal faults. The commonly used signal processing tool, Wavelet Transform which has an impressive reputation in this field fails to represent objects with highly anisotropic elements such as lines or edges efficiently due to the limitations in directional and scaling elements. Proposed scheme applies curvelet transform to the differential current to extract the required information and identify the faults. Extensive simulation using MATLAB Simulink has been done to validate the method and the results are validated by comparing with other schemes. © 2013 IEEE.

More »»

2013

Conference Paper

B. Emayavaramban, Thiyagaraj, R., Vivek, B., Kishan, Y. S., and Supriya, P., “Amplitude computation of harmonic voltages based on Adaptive Comb filter in a smart grid system”, in 2013 IEEE Conference on Information and Communication Technologies, ICT 2013, Thuckalay, Tamil Nadu, 2013, pp. 42-46.[Abstract]


Harmonics are a major source of pollution in power system networks. These harmonic current and voltage are to be estimated with great accuracy. Several methods exist for the estimation of harmonic voltage magnitude like FFT, FIR filters etc. But these methods have a common drawback of requiring high sampling frequency and difficulty in making them adaptive. Adaptive Comb filter is a potential solution to these problems. It is a cascade filter requiring a comparatively low sampling frequency and gives a comparatively more accurate result. In this paper, simulation results for various sampling frequencies of Adaptive Comb filter are presented. The results are compared with other methods like FFT and FIR filter using figure of merit like maximum absolute error (MAE) and mean square error (MSE). The amplitude computation scheme is proposed to be implemented on a suitable embedded platform. © 2013 IEEE.

More »»

2013

Conference Paper

S. Selva Kumar, Dr. Balamurugan S., Dr. Vijaya Chandrakala K. R. M., and R. Joseph Xavier, “Fuzzy Gain Schedule and Genetic Algorithm based PI controller for Gas Turbine Plant”, in X National Conference on Control Instrumentation System Conference (CISCON-2013), Manipal Institute of Technology, Manipal, 2013.

2013

Conference Paper

Dr. Balamurugan S. and Lekshmi R. R., “Adaptive Demand Management System”, in X National Conference on Control Instrumentation System Conference (CISCON-2013), Manipal Institute of Technology, Manipal, 2013.

2013

Conference Paper

Dr. Balamurugan S. and R.Chandran Lekshmi, “Dynamic Voltage Restorer for Voltage Quality Improvement in Distribution System”, in National Conference on Technological Advancements in Power and Energy (TAP Energy), Amrita School of Engineering, Amritapuri, 2013.

2013

Conference Paper

B. Anand, Harishankar, S., Hariskrishna, T. V., Sudharsan, K. P., Vignesh, U., and Sivraj, P., “Digital Human Action Copying Robot”, in India Educators' Conference (TIIEC), 2013 Texas Instruments, 2013.[Abstract]


Though various methods for controlling the robot have evolved over the last few years, an easy solution for this problem can be obtained by using human gestures as a mode of control for the robot. Gestures are the most significant means of interaction among humans, therefore the most intuitive solution for problem of controlling the robot lies in imitation, where the user adopts the role of a master and his/her actions are replicated by the robot, slave. Our mobile robot (slave) has two arms that can mimic the actions of human (master). The navigation is controlled using a joystick and the arm is controlled by the human actions.

More »»

2013

Conference Paper

A. Singh Gosain and Sivraj, P., “Image processing technique used in real time traffic light controlling”, in 4th International Conference, Confluence 2013: The Next Generation Information Technology Summit on the theme: Mega Trends of IT, 2013.[Abstract]


The traffic problems in the cities across the globe have worsened with the increase in population. Traffic light plays an important role to control the traffic on the road. Hence there is requirement for the better traffic light controlling system. So to improve the traffic light control various techniques have been introduced like fixed timer based systems, using electric and magnetic sensors to detect the vehicle, and neural networks based systems. But all these technique or methods have not given good result due to many problems like difficulty in the installation and maintenance of these equipment’s. So in order to overcome the above problems, researchers introduced vision-based system for collecting and analyzing road traffic data. Image processing technique proved to be the better technique so far because of low cost and low maintenance required. This paper proposes a system which uses canny edge detection technique for identifying the density of the traffic. Simulation results are used to show how canny edge detection technique gives better result compared to other edge detection technique for calculating the traffic parameters.

More »»

2013

Conference Paper

Dr. Oruganti Venkata Ramana Murthy and Goecke, R., “Ordered Trajectories for Large Scale Human Action Recognition”, in The IEEE International Conference on Computer Vision (ICCV) Workshops, 2013.[Abstract]


Recently, a video representation based on dense trajectories has been shown to outperform other human action recognition methods on several benchmark datasets. In dense trajectories, points are sampled at uniform intervals in space and time and then tracked using a dense optical flow field. The uniform sampling does not discriminate objects of interest from the background or other objects. Consequently, a lot of information is accumulated, which actually may not be useful. Sometimes, this unwanted information may bias the learning process if its content is much larger than the information of the principal object(s) of interest. This can especially escalate when more and more data is accumulated due to an increase in the number of action classes or the computation of dense trajectories at different scales in space and time, as in the Spatio-Temporal Pyramidal approach. In contrast, we propose a technique that selects only a few dense trajectories and then generates a new set of trajectories termed 'ordered trajectories'. We evaluate our technique on the complex benchmark HMDB51, UCF50 and UCF101 datasets containing 50 or more action classes and observe improved performance in terms of recognition rates and removal of background clutter at a lower computational cost. More »»

2013

Conference Paper

V. Narang, Roy, S., Dr. Oruganti Venkata Ramana Murthy, and Hanmandlu, M., “Devanagari Character Recognition in Scene Images”, in 2013 12th International Conference on Document Analysis and Recognition, 2013.[Abstract]


Character recognition in scene images is an extremely challenging task. Although several techniques are reported performing well, they pertain to English only. This paper focuses on Devanagari character recognition from scene images. Devanagari script is very popular language and has very typical characteristics different from other scripts, particularly English. Combination of basic Devanagari consonants and vowels in multi-variegated ways can yield as many as 100s of characters. Building a classifier to recognize all these classes will be a difficult task. To alleviate this problem, a novel part-based model technique is proposed. 40 basic classes were identified from the Devanagari script for the same purpose. The technique was proposed so as to classify an instance of one these classes in any given test sample. Procuring a large dataset for training is not feasible in the case of scene images. To simultaneously solve this problem, we developed our technique that can use either the machine printed or the handwritten dataset for training. We present our results on the publicly available dataset (DSIW2K) containing images of street scenes taken in New Delhi, India. More »»

2013

Conference Paper

Dr. Oruganti Venkata Ramana Murthy, Radwan, I., Dhall, A., and Goecke, R., “On the Effect of Human Body Parts in Large Scale Human Behaviour Recognition”, in 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2013.[Abstract]


Automatic analysis of human behaviour in large collections of videos is gaining interest, even more so with the advent of file sharing sites such as YouTube. Human behaviour analysis methods can be categorised into three classes based on the type of features. The three representations are local, region of interest and densely sampled based representations. Local feature representation, such as Spatio-Temporal Interest Points (STIP), are quite popular for modelling temporal aspects in human action recognition. Region of Interest (ROI) based feature representations try to capture and represent human body part regions. Densely sampled representations capture information at uniformly spaced intervals spread in space and temporal directions of the given video. In this paper, we investigate the effect of human body part (ROI) information in large scale action recognition. Further, we also investigate the effect of its fusion with Harris 3D points (local representation) information and densely sampled representations. All experiments use a Bag-of-Words framework. We present our results on large class benchmark databases such as the UCF50 and HMDB51 datasets. More »»

2012

Conference Paper

Aa Anand, Rajendra, Ya, Narayanan, Sa, and Radhamani, P. Vb, “Modelling, implementation and testing of an effective fault tolerant multiprocessor real-time system”, in Proceedings of 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing, PDGC 2012, Waknaghat, Solan, Himachal Pradesh, 2012, pp. 107-113.[Abstract]


Massively redundant hardware as the traditional means for fault tolerance in multiprocessor safety-critical systems especially for aerospace applications can be exorbitant and not very favorable for its weight, size and power requirements. Here, we propose an effective fault tolerant real-time multiprocessor system model with the same level of redundancy as that of a traditional system but can handle additional workload at no extra cost. This paper gives the design of an effective fault tolerant real-time system model and the design of a generic simulator FaRReTSim, which has been used to perform extensive simulation studies for the model. The performance of the real-time system model has been evaluated under fault free and fault conditions using FaRReTSim. © 2012 IEEE.

More »»

2012

Conference Paper

P. Na Sastry and Krishnan, Rb, “A data acquisition and analysis system for palm leaf documents in Telugu”, in ACM International Conference Proceeding Series, Mumbai, 2012, pp. 139-146.[Abstract]


This paper briefly reviews the progress in the field of hand written character recognition (HWCR) applied to the Indian languages with a special emphasis on the palm leaf character recognition (PLCR) techniques. The various methodologies and techniques for character recognition (CR) have been discussed in the paper. HWCR applied to historical documents like Palm leaves and old hand written manuscripts is much more challenging due to the limited progress in this area. These documents containing texts and treaties on a host of subjects are of both national and historical importance. Characters on the palm leaf have the additional properties like depth, an added feature which can be gainfully exploited during Palm Leaf Character Recognition (PLCR). The unique method of data collection initiated with isolated Telugu characters from palm leaf manuscripts, and the building of the palm leaf character database is described in this paper. A comparative analysis of the results for PLCR obtained by various techniques are also presented. © 2012 ACM. More »»

2012

Conference Paper

R. Divya, Nambiar, A., Raveendran, M., Mohan, N. P., and Sampath, S., “Mitigation of power quality issues using DSTATCOM”, in International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM), 2012, Chennai, 2012, pp. 65-69.[Abstract]


In this paper, the role of FACTS (Flexible AC Transmission System) devices in addressing various power quality issues has been studied. In FACTS, power electronic devices and their switching control schemes are used for improving the power flow in the transmission network and hence improve the power quality and reliability of the low-voltage distribution network. These devices can play a significant role in maximizing the power transmission capability of the transmission networkand providing high power quality at the point of common coupling (PCC) of the distribution system. The Distributed Static Compensator or DSTATCOM is a type of FACTS controller and has the function of reactive power compensation and harmonic mitigation. This paper discusses the use of synchronous detection algorithm for implementation of DSTATCOM for mitigation of harmonics. The dynamic performance is analyzed and verified through simulation.

More »»

2012

Conference Paper

S. Selva Kumar, Dr. Balamurugan S., and Dr. Vijaya Chandrakala K. R. M., “Improvement of transient stability of the power system using small Magnetic Energy Storage”, in IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012), E.G.S Pillay Engineering college, Tamil Nadu, 2012, pp. 68-71.[Abstract]


Power system is a huge labyrinth of generation, transmission and large scale distribution of electrical power. Disturbances in the power system cause ineffective transfer of power and create problems to system stability. With the advancement of superconducting technology, Superconducting Magnetic Energy Storage device (SMES) can be used in stabilizing the system. In this paper the effects of SMES on Single Machine connected to Infinite Bus bar system, is studied. The SMES unit dampens the power system oscillations and improves the dynamic performance.

More »»

2012

Conference Paper

S. Nithin, Dr. Sasi K. K., and Nambiar, T. N. P., “Development of a smart grid simulator”, in Proceedings of national conference on power distribution, CPRI, India, 2012.

2011

Conference Paper

D. Badarinath, Scaria, A., Devi, M. N., and N Mohankumar, “A compressed domain dual video watermarking for real-time applications”, in Proceedings of 2011 International Conference on Process Automation, Control and Computing, PACC 2011, Coimbatore, 2011.[Abstract]


Main objective of dual video watermarking is to achieve better compression rates, robustness against attacks and high security which has been rarely reported. In this paper, visible and invisible watermark is embedded in the video encoder during compression, resulting in an optimized compression/ watermarking algorithm and system. Due to its lower complexity, Discrete Cosine Transform (DCT) watermarking is chosen here. Exhaustive simulations made on recovered watermark had high correlation after different attacks. This algorithm is suitable for in real-time digital video broadcasting and emerging applications such as video fingerprinting. More »»

2011

Conference Paper

A. A. Paul and Dr. Anju Pillai S., “Reducing the number of context switches in real time systems”, in Proceedings of 2011 International Conference on Process Automation, Control and Computing, PACC 2011, Coimbatore, 2011.[Abstract]


In real time scheduling, preemption is one of the causes of run time overhead and large memory requirements. This paper focuses on reducing the number of preemptions in Earliest Deadline First (EDF) scheduling using a technique called Dynamic Preemption Threshold Scheduling (DPTS) in uniprocessor platform. This method is an improvement over existing threshold algorithms, but the complexity is slightly higher. The simulation results show that context switches are reduced by about 91% on an average. This technique is also applied for scheduling of sporadic requests along with periodic tasks. Preemptions that occur when tasks share resources and are required to synchronize are also reduced in this work. Our work also focuses on task set generation with limited hyperperiod (L.C.M. of periods of the tasks). © 2011 IEEE.

More »»

2011

Conference Paper

A. Scaria, D. Nath, B., Dr. Nirmala Devi M., and N Mohankumar, “Hardware implementation of svd based colour image watermarking in wavelet domain”, in Proceedings of 2011 International Conference on Process Automation, Control and Computing, PACC 2011, Coimbatore, 2011.[Abstract]


While it has become very easy to process and store digital images effectively, it has also paved way for ease in illegal production and redistribution. Watermarking is the best way to protect digital image against illegal recording and distribution. From the literature survey, it has been affirmed that the frequency domain techniques are more robust than spatial domain techniques. In this paper a singular value decomposition (SVD) based watermarking is executed in wavelet domain. This paper proposes the design and hardware implementation of a fast RGB to YUV converter by standard NTSC conversion and reconstruction formulae using optimal 2-D systolic arrays for matrix multiplication.The scheme have been implemented in Altera Cyclone II FPGA. The hardware implementation of 2D DWT decomposition and IDWT reconstruction were implemented in Xilinx xc3s1000-4fg320. Watermarks inserted in the lowest frequencies (LL subband) are resistant to certain group of attacks, and watermarks embedded in highest frequencies (HH subband) are resistant to another group of attacks. Embedding the same watermark in all 4 blocks, will make it extremely difficult to remove or destroy the watermark from all frequency subbands. The proposed algorithm is less resilient to geometric distortion including rotation, scaling and translation. The hardware implementation watermarking schemes has advantages over the software implementation in terms of high performance, and reliability. A hybrid SVD image watermarking in wavelet domain, will have more robustness. © 2011 IEEE.

More »»

2011

Conference Paper

A. C. N., I., R. K., S., B. Devasenapa, and Chandrakala, K. R. M. Vijaya, “Design and Validation of a Neural Predictive Controller for Emission Minimisation in IC Engines”, in Recent Trends in Communication, Computation and Signal Processing, Amrita School of Engineering, Coimbatore, 2011.

2011

Conference Paper

A. Lekshmi Mohan and Dr. Anju Pillai S., “Dynamic voltage scaling for power consumption reduction in real-time mixed task model”, in Int. conference on Computer Science Engineering and Applications, 2011.[Abstract]


The reduction in energy consumption without any deadline miss is one of the main challenges in real-time embedded systems. Dynamic voltage scaling (DVS) is a technique that reduces the power consumption of processors by utilizing various operating points provided to the DVS processor. These operating points consist of pairs of voltage and frequency. The selection of operating points can be done based on the load to the system at a particular point of time. In this work DVS is applied to both periodic and sporadic tasks, and an average of 40% of energy is reduced. The energy consumption of the processor is further reduced by 2-10% by reducing the number of pre-emption and frequency switching. More »»

2011

Conference Paper

S. Ramesh Maniyath and Dr. Supriya M., “An Uncompressed Image Encryption Algorithm Based on DNA Sequences”, in Computer Science & Information Technology (CS & IT) - International Conference, Chennai, 2011.[Abstract]


The rapid growth of the Internet and digitized content made image and video distribution simpler. Hence the need for image and video data protection is on the rise. In this paper, we propose a secure and computationally feasible image and video encryption/decryption algorithm based on DNA sequences. The main purpose of this algorithm is to reduce the big image encryption time. This algorithm is implemented by using the natural DNA sequences as main keys. The first part is the process of pixel scrambling. The original image is confused in the light of the scrambling sequence which is generated by the DNA sequence. The second part is the process of pixel replacement. The pixel gray values of the new image and the one of the three encryption templates generated by the other DNA sequence are XORed bit-by-bit in turn. The main scope of this paper is to propose an extension of this algorithm to videos and making it secure using modern Biological technology. A security analysis for the proposed system is performed and presented.

More »»

2010

Conference Paper

Aa Thekkilakattil, Dr. Anju Pillai S., Dobrin, Ra, and Punnekkat, Sa, “Preemption control using frequency scaling in fixed priority scheduling”, in Proceedings - IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2010, Hong Kong, 2010, pp. 281-288.[Abstract]


Controlling the number of preemptions in realtime systems is highly desirable in order to achieve an efficient system design in multiple contexts. For example, the delays due to context switches account for high preemption overheads which detrimentally impact the system schedulability. Preemption control can also be potentially used for the efficient control of critical section behaviors in multi-threaded applications. At the same time, modern processor architectures provide for the ability to selectively choose operating frequencies, primarily targeting energy efficiency as well as system performance. In this paper, we propose the use of CPU Frequency Scaling for controlling the preemptive behavior of real-time tasks. We present a framework for selectively eliminating preemptions, that does not require modifications to the task attributes or to the underlying scheduler. We evaluate the proposed approach by four different heuristics through extensive simulation studies. © 2010 IEEE. More »»

2010

Conference Paper

P. Sivraj, ShanmughaSundaram, R., and Adarsh, S., “Design & Implementation of Windows CE 6.0 Based Vehicle Management System GUI”, in International Conference in Embedded Systems, CIT, Oklahoma University, 2010.[Abstract]


Real-Time Operating System (RTOS) is a multitasking operating system intended for real-time applications in the embedded domain which includes robotics, automotive, industrial control and security, and scientific research equipments. The evolution of embedded systems paved way for the development of first, generic RTOS and then gradually application specific RTOS. In this paper the design and implementation of a vehicle dashboard system, called Vehicle Management System is made with eBOX 4300 as the embedded hardware platform and Windows CE 6.0 RTOS, is discussed. The application for vehicle dashboard is developed in Visual Basic.Net. As future work the performance of this WINCE based system is analyzed using standard remote debugging tools in Visual Studio 2005. The same Vehicle Management System is to be implemented in some other RTOS based embedded unit and the performance of both systems is to be compared. Based on the comparison, the evolution of RTOS from generic to application specific nature can be understood and finally the need and advantages of application specific RTOS for given application can be brought out.

More »»

2010

Conference Paper

A. Thekkilakattil, Dr. Anju Pillai S., Dobrin, R., and Punnekkat, S., “Reducing the Number of Preemptions in Real-Time Systems Scheduling by CPU Frequency Scaling”, in {18th International Conference on Real-Time and Network Systems}, Toulouse, France, 2010.[Abstract]


Controlling the number of preemptions in real-time systems is highly desirable in order to achieve an efficient system design in multiple contexts. For example, the delays due to context switches account for high preemption overheads which detrimentally impact the system schedulability. Preemption avoidance can also be potentially used for the efficient control of critical section behaviors in multi-threaded applications. At the same time, modern processor architectures provide for the ability to selectively choose operating frequencies, primarily targeting energy efficiency as well as system performance. In this paper, we propose the use of CPU Frequency Scaling for controlling the preemptive behavior of real-time tasks. We present a framework for selectively eliminating preemptions, that does not require modifications to the task attributes or to the underlying scheduler. We evaluate the proposed approach by four different heuristics through extensive simulation studies More »»

2010

Conference Paper

Y. V. Venkatesh, Kassim, A. K., and Dr. Oruganti Venkata Ramana Murthy, “Resampling Approach to Facial Expression Recognition Using 3D Meshes”, in 2010 20th International Conference on Pattern Recognition, 2010.[Abstract]


We propose a novel strategy, based on resampling of 3D meshes, to recognize facial expressions. This entails conversion of the existing irregular 3D mesh structure in the database to a uniformly sampled 3D matrix structure. An important consequence of this operation is that the classical correspondence problem can be dispensed with. In the present paper, in order to demonstrate the feasibility of the proposed strategy, we employ only spectral flow matrices as features to recognize facial expressions. Experimental results are presented, along with suggestions for possible refinements to the strategy to improve classification accuracy. More »»

2010

Conference Paper

Dr. Oruganti Venkata Ramana Murthy, Muthuswamy, K., Rajan, D., and Tien, C. L., “Image Retargeting in Compressed Domain”, in 2010 20th International Conference on Pattern Recognition, 2010.[Abstract]


A simple algorithm for image retargeting in the compressed domain is proposed. Most existing retargeting algorithms work directly in the spatial domain of the raw image. Here, we work on the DCT coefficients of a JPEG-compressed image to generate a gradient map that serves as an importance map to help identify those parts in the image that need to be retained during the retargeting process. Each 8 × 8 block of DCT coefficients is scaled based on the least importance value. Retargeting can be done both in the horizontal and vertical directions with the same framework. We also illustrate image enlargement using the same method. Experimental results show that the proposed algorithm produces less distortion in the retargeted image compared to some other algorithms reported recently. More »»

2010

Conference Paper

M. Dhivya, Matthew, K., Prabhu, M., and R. Saravanakumar, “Position control of DC motor using advanced soft computing technique”, in Second National Conference on Signal Processing, Communications and VLSI Design – NCSCV’10, 2010.[Abstract]


The aim of this paper is to design a position controller of a DC motor by selection of a PID parameters using BFOA. The model of a DC motor is considered as a third order system. And this paper compares two kinds of tuning methods of parameter for PID controller. One is the controller design by the BFOA second is the controller design by the Ziegler and Nichols method. It was found that the proposed PID parameters adjustment by the BFOA is better than the Ziegler & Nichols’ method. The proposed method could be applied to the higher order system also.

More »»

2009

Conference Paper

S. Balamurugan, Chandrakala, K. R. M., and Sankaranarayanan, K., “Effective Automatic Generation Control of Hydrothermal Plant using Superconducting Magnetic Energy Storage and Static Synchronous Series Compensator Units”, in International Conference on Applied Energy (ICAE 2009), National University of Singapore, Singapore, 2009.

2009

Conference Paper

Dr. Ramanathan R., Rohini, P. A., Dharshana, G., and Soman, K. P., “Investigation and development of methods to solve multi-class classification problems”, in ARTCom 2009 - International Conference on Advances in Recent Technologies in Communication and Computing, Kottayam, Kerala, 2009.[Abstract]


Most of the classification problems frequently encounter a multi class predicament and offers a good scope for research. This paper has a comprehensive approach to the available multi-class technique using Artificial Neural Networks and then introduces a new algorithm to overcome the demerits of the former. In addition, a new algorithm combining ANN and chameleon clustering is suggested and validated. An SVM model for the above is also proposed and sufficiently tested with a typical example i.e. Image Segmentation. Also, the permutation effects prevailing in Half -against-Half multi class algorithm of SVM is efficiently tackled by developing an algorithm using "circular shift strategy" and employing the same. The use of clustering methods with SVM to improve its efficiency is also discussed. All the above mentioned models are extensively analyzed and the results are presented. It is found that the proposed method is an effective alternative for existing methods and offers consistent performance. © 2009 IEEE. More »»

2009

Conference Paper

Dr. Ramanathan R., Ponmathavan, S., Valliappan, N., Thaneshwaran, L., Nair, A. S., and Soman, K. P., “Optical character recognition for English and Tamil using support vector machines”, in ACT 2009 - International Conference on Advances in Computing, Control and Telecommunication Technologies, Trivandrum, Kerala, 2009.[Abstract]


Optical Character Recognition is an evergreen area of research and is verily used in various real time applications. This paper proposes a new technique of Optical character Recognition using Gabor filters and Support Vector machines (SVM). This method proves to be very effective with the use of Gabor filters for feature extraction and SVM for developing the model. The model proposed is trained and validated for two languages - English and Tamil and the results are found to be very much encouraging. The model developed works for the entire character set in both the languages including symbols and numerals. In addition , the model can recognise the characetrs of six different fonts in English and Twelve different fonts in Tamil. The average accuracy of recognition for English is 97% and for Tamil it is 84%, which is achieved in just three iterations of training. The method can turn out to be a suitable candidate for future applications in this area. © 2009 IEEE. More »»

2009

Conference Paper

Dr. Ramanathan R., Thaneshwaran, L., Viknesh, V., Arunkumar, T., Yuvaraj, P., and Soman, K. P., “A novel technique for english font recognition using support vector machines”, in ARTCom 2009 - International Conference on Advances in Recent Technologies in Communication and Computing, Kottayam, Kerala, 2009.[Abstract]


Font Recognition is one of the Challenging tasks in Optical Character Recognition. Most of the existing methods for font recognition make use of local typographical features and connected component analysis. In this paper, English font recognition is done based on global texture analysis. The main objective of this proposal is to employ support vector machines (SVM) in identifying various fonts. The feature vectors are extracted by making use of Gabor filters and the proposed SVM is trained using these features. The method is found to give superior performance over neural networks by avoiding local minima points. The SVM model is formulated tested and the results are presented in this paper. It is observed that this method is content independent and the SVM classifier shows an average accuracy of 93.54%. © 2009 IEEE. More »»

2009

Conference Paper

Dr. Ramanathan R. and Soman, K. P., “Improved technique for the construction of parametric M - Band wavelets”, in ARTCom 2009 - International Conference on Advances in Recent Technologies in Communication and Computing, Kottayam, Kerala, 2009.[Abstract]


Demanding applications of wavelets in OFDM modulation, Watermarking, cognitive radio and wireless networks has created an immense interest amongst the researchers to work on the design of good wavelet system. Parametric and M-Band wavelets draw a special attention in this category. A commensurate procedure for constructing a superior M-Band Parametric wavelet system is proposed in this paper. The idea of Modulation matrix decomposition and the relation with corresponding Polyphase matrix and its factorization is exploited to possible extent to make the design process plain and easy. The appropriate polynomial matrix is put in place to extend the filter design to any required length. The simple property of the kroneckor product of two matrices is contemplated to achieve M-Band design. This paper ponders on the above-mentioned factors and accomplishes the task of designing an M-Band parametric wavelet, which is complete in itself. Few examples are used to substantiate the proposed method. © 2009 IEEE. More »»

2009

Conference Paper

Dr. Ramanathan R., Nair, A. S., Sagar, V. V., Sriram, N., and Soman, K. P., “A support vector machines approach for efficient facial expression recognition”, in ARTCom 2009 - International Conference on Advances in Recent Technologies in Communication and Computing, Kottayam, Kerala, 2009.[Abstract]


Current scenario in computer vision demands an efficient and robust technique for facial expression recognition. There is also a need for a generalized technique that can even be used for content based image retrieval and analysis. This paper introduces a novel methodology of facial expression recognition using Support Vector Machines. An efficient model is trained and developed using the necessary features extracted by employing 2D Gabor filters. Practically, six different methods for handling the feature vectors are discussed and extensively analyzed in this paper. The developed model is tested and cross validated and the detailed results are presented. It is observed that the proposed method offers a consistent and good accuracy (83.3%) for all the six basic expressions considered. In addition, the implementation complexity is reduced by minimizing the number of support vectors, unlike the traditional counterparts. The proposed method shall definitely turn out to be an effective alternative for the existing methods. © 2009 IEEE. More »»

2009

Conference Paper

Dr. Ramanathan R., Nair, A. S., Thaneshwaran, L., Ponmathavan, S., Valliappan, N., and Soman, K. P., “Robust feature extraction technique for optical character recognition”, in ACT 2009 - International Conference on Advances in Computing, Control and Telecommunication Technologies, Trivandrum, Kerala, 2009.[Abstract]


Optical Character Recognition (OCR) is a classical research field and has become one of most thriving applications in the field of pattern recognition. Feature extraction is a key step in the process of OCR, which in fact is a deciding factor of the accuracy of the system. This paper proposes a novel and robust technique for feature extraction using Gabor Filters, to be employed in the OCR. The use of 2D Gabor filters is investigated and features are extracted using these filters. The technique generally extracts fifty features based on global texture analysis and can be further extended to increase the number of features if necessary. The algorithm is well explained and is found that the proposed method demonstrated better performance in efficiency. In addition, experimental results show that the method gains high recognition rate and cost reasonable average running time. © 2009 IEEE. More »»

2009

Conference Paper

Dr. Ramanathan R., Ponmathavan, S., Thaneshwaran, L., Nair, A. S., Valliappan, N., and Soman, K. P., “Tamil font recognition using gabor filters and support vector machines”, in ACT 2009 - International Conference on Advances in Computing, Control and Telecommunication Technologies, Trivandrum, Kerala, 2009.[Abstract]


Tamil Font Recognition is one of the Challenging tasks in Optical Character Recognition and Document Analysis. Most of the existing methods for font recognition make use of local typographical features and connected component analysis. In this paper, Tamil font recognition is done based on global texture analysis. The main objective of this proposal is to employ support vector machines (SVM) in identifying various fonts in Tamil. The feature vectors are extracted by making use of Gabor filters and the proposed SVM is trained using these features. The method is found to give superior performance over neural networks by avoiding local minima points. The SVM model is formulated tested and the results are presented in this paper. It is observed that this method is content independent and the SVM classifier shows an average accuracy of 92.5%. © 2009 IEEE. More »»

2009

Conference Paper

Dr. Ramanathan R., Valliappan, N., Mathavan, S. P., Gayathri, M., Priya, R., and Soman, K. P., “Generalised and channel independent SVM based robust decoders for wireless applications”, in ARTCom 2009 - International Conference on Advances in Recent Technologies in Communication and Computing, Kottayam, Kerala, 2009.[Abstract]


Emerging applications in wireless communications and Software Defined Radio require robust and generalized decoders with a very good efficiency. This paper aims at introducing a novel and powerful method of implementing a decoder using Support Vector Machines (SVM) to exhibit good performance irrespective of the channel model. The method proposed also ensures a generalization in the design of decoder, which can be easily adaptable for any type of coding technique used. In addition, this method overcomes the demerits of the traditional decoders like Viterbi and other decoders using Neural Networks. The error correction codes like Hamming and Convolutional codes are considered for experimentation. Using SVM, which is a class of machine learning algorithm, this process is viewed as a multi-class classification problem and error correction is achieved in a simpler way. An extensive analysis with regard to the effect of channel and modulation techniques is also made and presented. The proposed SVM model is sufficiently cross validated and found to be an effective replacement for the existing counterparts. © 2009 IEEE. More »»

2009

Conference Paper

R. K. and Dr. Sasi K. K., “Active Power Control in Variable Speed Wind Electric Generators”, in 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies, 2009.[Abstract]


This paper presents the performance analysis of a variable speed wind energy conversion system that employs permanent magnet generator (PMG) coupled to horizontal axis wind turbine. The study involves a computer simulation of the wind turbine driven PMG connected to the grid through an inverter. The switching signal for the PWM inverter has been generated by a method of DC link voltage control adopted for control of active power transferred through the system. The dynamic model of the wind power conversion system is developed using MATLAB/Simulink software. More »»

2009

Conference Paper

V. V. and Dr. Sasi K. K., “Dynamic Analysis of a Grid-Connected Wind Electric Generator with Embedded Static VAR Compensator”, in 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies, 2009.[Abstract]


This paper describes modeling and simulation of Wind Electric Generator (WEG) comprising a pitch controlled Horizontal Axis Wind Turbine (HAWT) coupled to squirrel cage induction generator through a gear. The generic issue of VAR drain from the grid by the generator is tackled by the use of Static VAR Compensators (SVC). The paper presents the results of the dynamic performance of the complete system under varying wind conditions. The model accommodates the effects of wind turbulence and the simulation is carried out using MATLAB - SIMULINK 7.1. More »»

2009

Conference Paper

Dr. Sindhu Thampatty K.C., Cheriyan, E. P., and Nandakumar, M. P., “Design of a discrete Linear Quadratic Gaussian (DLQG) compensator for SSR damping using a sample invariant discrete model of TCSC”, in TENCON 2009 - 2009 IEEE Region 10 Conference, Singapore, Singapore, 2009.[Abstract]


The paper presents the design of a discrete linear quadratic gaussian (DLQG) compensator for SSR damping which includes a full order Kalman filter to estimate all the states of the system and a full state feedback regulator. The controller is tested on IEEE First Benchmark model for SSR studies. A discrete linear-time invariant (LTI) model of a thyristor-controlled series capacitor (TCSC) in the synchronously rotating DQ reference frame is used in this system in which, the sample invariance is achieved by a simple transformation of the zero sequence variables in the discrete domain. This model of discrete TCSC is then integrated with discretised LTI model of the rest of the system under study. Thyristor firing is based on current synchronised phase-locked loop and the sampling frequency is six times the synchronous frequency. The eigen value analysis is done for this integrated system for different angles of conduction of the thyristor. The modeled system is having 27 state variables including the PLL states. The TCSC model and DLQG compensator design is validated using time domain simulation of the system.

More »»

2009

Conference Paper

Dr. Sindhu Thampatty K.C., Nandakumar, M. P., and Cheriyan, E. P., “ANN based adaptive controller tuned by RTRL algorithm for non-linear systems”, in 2009 2nd International Workshop on Nonlinear Dynamics and Synchronization, 2009.[Abstract]


The paper presents artificial neural network (ANN) based adaptive controller for nonlinear systems. A state feedback adaptive control algorithm using fully connected recurrent neural network is employed. The desired trajectory for the on-line training of the neural network is obtained from a reference model. The synaptic weights adaptation of the network is based on real time recurrent learning algorithm (RTRL). Since the synaptic weights are adjusted in real time, this novel method of controller design has potential applications in non-linear systems. Simulation results of the controller applied to a simple non-linear dynamic system demonstrate the effectiveness of the controller.

More »»

2008

Conference Paper

S. Balamurugan, Chandrakala, K. R. M., and Sankaranarayanan, K., “Improvement in Load Frequency Control of Multi Area Power System using Superconducting Magnetic Energy Storage”, in 9th National Conference on Technological Trends (NCTT 2008), College of Engineering, Trivandrum, 2008.

2008

Conference Paper

S. Mohanapriya, Chandrakala, K. R. M., and Balamurugan, S., “Comparative Frequency Response of Two Area Thermal System with Sugeno and Mamdani Fuzzy Controller”, in International Conference on Power System Analysis Control and Optimization, Andhra University, Visakhapatnam, 2008.

2008

Conference Paper

Dr. Balamurugan S., Chandrakala, K. R. M., K., A. Subramania, and Kayalvizhi, S., “Improvement of System Damping in Load Frequency Control of Hydrothermal Power Plant with Fuzzy Logic Controller”, in International Conference on Power System Analysis Control and Optimization, Andhra University, Visakhapatnam, 2008.

2007

Conference Paper

Dr. Balamurugan S. and Chandrakala, K. R. M., “Improvement of System Damping In Load Frequency Control of Steam Power Plant Using Fuzzy Controller”, in XXXI National System Conference (NSC – 2007), Manipal Institute of Technology, Manipal, 2007.

2007

Conference Paper

S. Balamurugan and R Xavier, J., “Speed Control of Gas Turbine Plant Co-Generated with Thermal Power Plant”, in International Conference on Recent Advancements and Applications of Computer in Electrical Engineering, Engineering college Bikaner, Rajasthan, 2007.

2007

Conference Paper

M. Hanmandlu, Dr. Oruganti Venkata Ramana Murthy, and Madasu, V. K., “Fuzzy Model Based Recognition of Handwritten Hindi Characters”, in 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007), 2007.[Abstract]


This paper presents the recognition of handwritten Hindi Characters based on the modified exponential membership function fitted to the fuzzy sets derived from features consisting of normalized distances obtained using the Box approach. The exponential membership function is modified by two structural parameters that are estimated by optimizing an objective function that includes the entropy and error function. A Reuse Policy that provides guidance from the past policies is utilized to improve the reinforcement learning. This relies on the past errors exploiting the past policies. The Reuse Policy improves the speed of convergence of the learning process over the strategies that learn without reuse and combined with the use of the reinforcement learning, there is a 25-fold improvement in training. Experimentation is carried out on a database of 4750 samples. The overall recognition rate is found to be 90.65%.

More »»

2006

Conference Paper

Dr. Balamurugan S., “Minimizing the Effect of Saturation Non Linearities on Load Frequency Control”, in National Conference on Recent Trends in power System and Drives, SSN College of Engineering, Chennai, 2006.

2006

Conference Paper

S. Balamurugan, “Improvement of System Performance by Using the Differential Feedback in the Two Area Load Frequency Control”, in National Conference on Recent Advancements in Operation and Control of Large Power Systems, Annamalai University, Annamalainagar, 2006.

2006

Conference Paper

Dr. Balamurugan S., R Xavier, J., and A Jeyakumar, E., “Selection of Governor and Optimization of its Droop Setting and Rotor Time Constant”, in International Conference on Electricity – the energy carrier for the present and the future, Oberoi Grand, Kolkatta, 2006.

2006

Conference Paper

M. Hanmandlu and Dr. Oruganti Venkata Ramana Murthy, “Reinforcement Learning in the Entropy Based Recognition of Handwritten Hindi Numerals”, in Proc. 10th World Multi-conference on Systems, Cybernetics and Informatics, 2006.

2006

Conference Paper

P. V. Kumar, Meera, K. S., and Dr. Sasi K. K., “Transient Fault Response of Grid Connected Wind Electric Generators”, in 2006 International Conference on Power Electronic, Drives and Energy Systems, 2006.[Abstract]


The paper deals with simulation studies on grid connected wind electric generators (WEG) employing squirrel cage induction generator (SCIG) and doubly fed induction generator (DFIG). Their dynamic responses to wind speed variations and transient faults on transmission line are studied. More »»

2005

Conference Paper

Dr. Balamurugan S. and R Xavier, J., “Selection of governor for heavy duty gas turbine power plant”, in National Conference on Modern trends in Electrical and Instrumentation systems, Coimbatore, India, Government College of Technology, Coimbatore, 2005.

2005

Conference Paper

Dr. Balamurugan S. and R Xavier, J., “Modeling of Biomass Power Plant Having Low Turbine Rotor Time Constant For Stability Studies”, in IEE Sponsored National Conference on Power Engineering Practices and Energy Management PEPEM’05, Thapar Institute Engineering and Technology, Patiala, Punjab, 2005.

2003

Conference Paper

Dr. Balamurugan S., “Fuzzy Based Load Frequency Controller For Biomass Power Plant”, in National Conference on Mathematical and Computational Models NCMCM 2003, PSG College of Technology, Coimbatore, 2003.

2003

Conference Paper

S. Suraneni, Kar, I. N., Bhatt, R. K. P., and Dr. Oruganti Venkata Ramana Murthy, “Adaptive stick-slip friction compensation using dynamic fuzzy logic system”, in TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region, 2003.[Abstract]


A dynamic fuzzy logic based adaptive algorithm is proposed for reducing the effect of stick slip friction present in 1-DOF (one degree of freedom) mechanical mass system. The control scheme proposed is an online identification and indirect adaptive control, in which the control input is adjusted adaptively to compensate the effect of nonlinearity. Lyapunov stability analysis is used to ensure the boundedness of tracking errors, identification errors etc. The efficacy of the proposed algorithm is verified on a 1-DOF mechanical mass system with stick slip friction. More »»

2003

Conference Paper

Dr. Oruganti Venkata Ramana Murthy, Panda, A. K., Mukherjee, S., and Kar, I. N., “Fault tolerant operation of one dimensional MPBS”, in TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region, 2003.[Abstract]


A Stewart platform, in its most general form, is a parallel manipulator with six linear actuators, connected to the base and the end-effector with spherical joints. The concept of massively parallel binary system (MPBS) is realized by using legs consisting of a very large number of binary actuators. Current focus is on the design of the one-dimensional MPBS where a set of actuators is connected in parallel to a body along the x-axis only. The paper presents the robustness of a control algorithm for 1D MPBS under the fault condition. It was possible to track a specified trajectory with acceptable performance when some actuators stop functioning in mid-process. More »»

2000

Conference Paper

K. K. Sasi and Basu, S., “Technology options for utility grade electric power generation from wind”, in Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482), 2000.[Abstract]


Four options of wind electric generator (WEG) technology have been studied and compared based on their estimated field performance. The electric generators considered are squirrel cage induction generator (IG), doubly wound cage IG, double output wound rotor IG and permanent magnet generator (PMG). The performance evaluation has been done by developing power flow models of the WEGs. The results highlight the relatively superior performance efficiency of WEGs employing doubly wound IG and double output IG. More »»

Publication Type: Conference Proceedings

Year of Publication Publication Type Title

2018

Conference Proceedings

D. Raphel and .Vanitha, V., “Seasonal Wind Speed Forecasting Using ANFIS”, IEEE Biennial international conference on Power and Energy Systems: Towards Sustainable Energy”(PESTSE). 2018.

2018

Conference Proceedings

A. S and R, B., “Objective Function Formulation for Small Wind Turbine Aerofoil Design”, IEEE Biennial international conference on Power and Energy Systems: Towards Sustainable Energy”(PESTSE),2018. 2018.

2017

Conference Proceedings

and , “Real time energy management and bus voltagedroop control in solar powered standalone DC microgrid”, IEEE Region 10 Symposium (TENSYMP), 2017. 2017.

2017

Conference Proceedings

K. Nair, V, V., and M, J., “Forecasting of Wind Speed Using ANN, ARIMA and Hybrid Models”, IEEE International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT),2017. 2017.

2016

Conference Proceedings

H. G. R. and Dr. Balamurugan S., “Analysis and Implementation of Load Frequency Controller for Deregulated Power System”, IEEE International conference on Power and Energy Systems: Towards sustainable Energy PESTSE - 2016. IEEE, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Bengaluru, p. 343, 2016.[Abstract]


In this paper, Load frequency controller has been developed to satisfy the demand as per the contract in deregulated power system. The governor characteristics have been analyzed in terms of frequency against turbine power. The system with primary, secondary and both control loops are analyzed. The secondary controller is found to be predominant in fixing the generation as per the contract. The secondary Proportional Integral controller has been tuned for the Multi Source Multi area deregulated system. The tuned controller provides better performance not only in implementing the contract and but also in satisfying the violation.

More »»

2016

Conference Proceedings

M. K., Dr. Balamurugan S., and N., K., “Real Power Flow Control in Transmission System using TCSC”, IEEE International conference on Power and Energy Systems: Towards sustainable Energy PESTSE - 2016. IEEE, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Bengaluru , p. 88, 2016.[Abstract]


Interconnected transmission system provides a wide scope for power sharing thereby avoiding chances of overloading in transmission lines. But this can be achieved only with proper control on the transmission network. The aim of this work is to improve the real power flow in the transmission lines by varying the transmission line reactance. Real power flow can be improved by series compensation using a Static Series Compensator (SSC). A fixed capacitor connected in series with the transmission line can effectively reduce the transmission line reactance thereby improving real power flow. But series compensation using a capacitor can provide only fixed compensation, a smooth variation in reactance cannot be achieved. In this paper a Thyristor Controlled Static Series Compensator (TCSC) is used for controlling the power flow in the transmission line. Open loop control of TCSC by varying the firing angle is simulated using MATLAB. A hardware implementation of TCSC to analyse the power flow control is deployed in a 2-bus system.

More »»

2016

Conference Proceedings

Sai Shibu N. B. and Dr. Balamurugan S., “Design of Active Series Compensator for Real Power Flow Rerouting in Transmission System”, IEEE International conference on Power and Energy Systems: Towards sustainable Energy PESTSE - 2016. IEEE, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Bengaluru , p. 91, 2016.[Abstract]


In this paper, the real power flow control in a transmission line is done by using active series compensation technique. The active compensator varies the power angle in the line using a power electronic device. The power angle is varied by injecting voltage to the line that is in phase shift with line voltage. This varies the real power flow in transmission line. Using this technique, the rerouting of power flow can be achieved to satisfy the inequality constraints. By controlling the injected voltage magnitude and the phase angle, accurate power flow control can be achieved. In this paper, an embedded system based active series compensator is developed and the power flow control in a two bus system is achieved effectively.

More »»

2016

Conference Proceedings

Lekshmi R. R., Dr. Balamurugan S., and K., S. K., “Decentralised Automatic Generation Control Strategy for a Three Area Bilateral Power Market”, IEEE international conference on Power and Energy Systems: Towards sustainable Energy PESTSE - 2016. IEEE, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Bengaluru , p. 337, 2016.[Abstract]


Restructured power system creates a competitive environment where different players like generating and distribution companies enter into auction or negotiations. Under bilateral model, GENCOs schedule power based on the contracts made with the DISCOs. Moreover, the transmission companies are made to operate at the contracted value. Ensuring system stability and reliability is a big challenge under restructured power system. The paper proposes a control strategy for load frequency control in a three area deregulated power system, with the objective to regulate the system frequency and TRANSCO power variation. The effectiveness of the control strategy is tested during contract violations.

More »»

2016

Conference Proceedings

S. S. Babu and Dr. Anju Pillai S., “Design and Implementation of Two--Wheeled Self-Balancing Vehicle Using Accelerometer and Fuzzy Logic”, Proceedings of the Second International Conference on Computer and Communication Technologies, vol. 381 . Springer, pp. 45-53, 2016.[Abstract]


Two-wheeled self-balancing vehicle commercially known as “Segway” is a promising upcoming mode of transportation in many fields viz. corporate worlds, tourist place, medical field, or for personal use. In this paper, a control strategy and sensor-based control of two-wheeled self-balancing vehicle is proposed. The concept of the stabilizing the vehicle is inspired from the inverse pendulum theory. Based on steady-state space mathematical model, the entire system control is divided into two subsystems: self-balance control system (forward or backward motion balancing) and yaw control system (left or right movement). The control strategy used is fuzzy logic and is applied to both subsystems. A prototype model of the self-balancing vehicle is developed and the proposed mathematical model and control logic are verified by testing on the developed prototype. More »»

2016

Conference Proceedings

Dr. Balamurugan S. and Janarthanan, N., “Laboratory Model to Teach Operation of Power Systems”, IEEE 4th International Conference on MOOCs Innovation and Technology in Education. IEEE, Thiagarajar College of Engineering, Madurai, India, pp. 128-131, 2016.[Abstract]


A laboratory model of power system is developed to demonstrate the operational aspects of power systems for the under graduate students in electrical discipline. Conventional methods of class room teaching and simulation based experiments are used by most of the engineering colleges to teach power systems. The teaching community feels difficult to give physical insight and evaluation of power system, which can be attained only through laboratory based experiments. This paper explains about the development of scaled down model of three bus system with slack, PV and PQ bus. The procedure of demonstrating the operational aspects of power system like grid restoration, bus properties, Q limit violation, power flow control and frequency management are also discussed. This laboratory based teachings gives better understanding about power system and make the students to analyze and evaluate the system effectively.

More »»

2016

Conference Proceedings

N. Raghul, ,, and Mohanrajan, S. R., “Renewable generators' capacity optimization for a micro-grid in rural feeder using HOMER—A case study”, Emerging Technological Trends (ICETT), International Conference on. IEEE. 2016.

2016

Conference Proceedings

R. D.V, S.K, B., M.R, S., and D, K., “Fabrication of low-cost Carbon Paste Based Counter Electrodes for dye-sensitized Solar Cells”, 2016 International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016. DMI College of Engineering, Palnchur, Chennai, Tamilnadu; India, pp. 3760-3764, 2016.

2016

Conference Proceedings

L. Priya R, T, R., and P.V., S., “Fabrication and Characterization of High Power Dual Chamber E. coli Microbial Fuel Cell”, IOP Conference Series: Materials Science and Engineering, vol. 149. 2016.

2015

Conference Proceedings

K. Arathi and Dr. Anju Pillai S., “Low-Power Home Embedded Surveillance System Using Image Processing Techniques”, International Conference on Power circuit and Information Technologies (ICPCIT). Springer India, New Delhi, pp. 24-34, 2015.[Abstract]


The need for surveillance systems are increasing due to safety and security requirements. And there exists an ample amount of challenging work yet to be explored in this domain. The current work proposes design, development and implementation of a low-power home embedded surveillance system. Such systems being operated throughout the day, consumes considerable amount of power. Power consumption being a crucial design parameter affects the utility of the system. In the proposed system to consume power, use of low-power sensor groups and controlling the activation of surveillance camera is incorporated through the M-bed microcontroller. Presence of a person is detected and face recognition is carried out using various image processing techniques. More »»

2015

Conference Proceedings

R. .Jayabarathi, .Jisma, M., and A. Suyampulingam, “Unit Commitment Using Embedded Systems”, International Conference on smart grid Technologies, Elseveir Procedia technology, vol. 21. Amrita Vishwa Vidyapeetham, pp. 96-102, 2015.

2015

Conference Proceedings

T. .V.Aneeth and Jayabarathi, D. R., “Energy Efficient Communication in Wireless Sensor Network for Precision Farming”, Joint international conference on communication, computing and power technologies ICCCPT 2015 and artificial intelligence and evolutionary computations in engineering systems, Springer conference. 2015.

2015

Conference Proceedings

N. Kirthika and Balamurugan, S., “Series compensators: Application consideration automated solutions for congestion management”, IEEE International conference on technological advancements in power and energy. Amrita School of Engineering, Amritapuri, pp. 211-216, 2015.

2015

Conference Proceedings

S. Selvakumar and NeenuElzaCherian, “Scheduling of Shiftable loads for demand side management”, IEEE Sponsored 2nd International Conference on Innovations in Information,Embedded and Communication systems (ICIIECS)2015., no. 20. 2015.

2015

Conference Proceedings

“Implementation Of Fuzzy Based Robotic Path Planning”, Proceedings of 2nd International Conference on Computer and Communication Technologies 2015, vol. 2. pp. 375-384, 2015.

2015

Conference Proceedings

S. .P, “Blind Source Separation Based Analysis of Correlated Harmonic Sources in a Micro Grid Environment”, International Conference on Smart Grid Technologies, vol. 21. pp. 224 - 231, 2015.

2015

Conference Proceedings

C. Aneesh, Hisham, P. M., Kumar, S., Maya, P., and Soman, K. P., “Variance Based Offline Power Disturbance Signal Classification Using Support Vector Machine and Random Kitchen Sink”, Procedia Technology, Elsevier, vol. 21. pp. 163-170, 2015.

2015

Conference Proceedings

P. Maya, Roopasree, K., and Soman, K. P., “Discrimination of Internal Fault Current and Inrush Current in a Power Transformer Using Empirical Wavelet Transform”, Procedia Technology, Elsevier, vol. 21. pp. 514 - 519, 2015.

2015

Conference Proceedings

P. .S and Thampatty, K. C. Sindhu, “Dynamic modelling of UPFC for power flow control”, Proceedia technology. pp. 581-588, 2015.

2015

Conference Proceedings

D. R. Nair and N Prakash, K., “Design and Implementation of a Wireless Sensor Network based Efficient LED Lighting System”, Communication and Networking Technologies (ICCCNT), 2015 6th International Conference on , Denton. pp. 1 - 6, 2015.

2015

Conference Proceedings

R. .Subhashree, C. Preethi, S., and Prakash, K., “Wireless Safety System In Trains”, Proceedings of the 2nd International Conference on Electrical, Electronics, Instrumentation and Computer Communication. 2015.

2015

Conference Proceedings

G. Kumarasamy, N, K. Prakash, and P, S. Mohan, “Rider Assistance System with an Active Safety Mechanism”, IEEE International Conference on Computational Intelligence and Computing Research. pp. 163-168, 2015.

2014

Conference Proceedings

Dr. Sindhu M. R., P, N. T. N., and Balamurugan S, “Development of a Laboratory Model to Teach Power System to Undergraduate Students”, Proceedings of Second National Conference on Power Electronics in Sustainable Energy Development (NCPSE - 2014). 2014.

2014

Conference Proceedings

Dr. Balamurugan S., S Abinav, P., Aparna, S., V Laexmi, N., and Vijjei, S. A. K. Vedha, “Phase Angle Measurement Using State Estimation and Synchro Phasor”, Second National Conference on Power Electronics in Sustainable Energy Development (NCPSE - 2014) . Amrita School of Engineering, Coimbatore, 2014.

2014

Conference Proceedings

Dr. Balamurugan S. and Ajeesh, K. P., “Congestion Management in Transmission Line Using Pulse Width Modulation Based Series Compensation”, Second National Conference on Power Electronics in Sustainable Energy Development (NCPSE - 2014) . Amrita School of Engineering, Coimbatore, 2014.

2014

Conference Proceedings

Dr. Balamurugan S., R Xavier, J., A Jeyakumar, E., and Sampathkumar, S., “Comparison of Hysteresis Comparator for the Performance Improvement of Direct Torque Controlled Induction Motor Drive”, Second National Conference on Power Electronics in Sustainable Energy Development (NCPSE - 2014) . Amrita School of Engineering, Coimbatore, 2014.

2014

Conference Proceedings

Dr. Anju Pillai S. and Dr. Isha T. B., “Optimal task allocation and scheduling for power saving in multiprocessor systems”, 2014 Power and Energy Systems Conference: Towards Sustainable Energy, PESTSE 2014. IEEE Computer Society, Bangalore, 2014.[Abstract]


The wide spread use of multiprocessor system demands for energy saving. Energy issues being the most critical one need prime attention and prevention. This paper presents methods for power consumption reduction in multiprocessor systems by optimally allocating the jobs and scheduling them. The job allocation in multiprocessor systems is very crucial and a novel allocation algorithm for reducing the number of processors is proposed in this work. Scheduling decisions are vital for the system to meet both temporal and functional requirements and is perfect when methods for energy consumption reduction are incorporated into it. The current work aims to reduce power consumption of an embedded processor by Dynamic Voltage Frequency Scaling (DVFS) technique. The simulation results show a considerable amount of reduction in processor utilization and power consumption. © 2014 IEEE.

More »»

2014

Conference Proceedings

Aa Vijayakumari, Devarajan, A. Ta, Devarajan, Nb, and Vijith, Ka, “Dynamic grid impedance calculation in D-Q frame for micro-grids”, 2014 Power and Energy Systems Conference: Towards Sustainable Energy, PESTSE 2014. IEEE Computer Society, Bangalore, 2014.[Abstract]


This paper presents a method for online dynamic measurement of the grid impedance that may prevail in an electrical network at any instant of time. Here the grid resistance and inductance are measured during the operation using a non-characteristic frequency current continuously injected into the grid, and subsequently calculating the impedance using discrete Fourier transforms. The proposed measurement is implemented in d-q reference frame so that the computational overhead on the microcontroller is relatively reduced. The continuous injection of non-characteristic current at 75 Hz avoids the injection of inter-harmonics into the grid during measurements. The resulting grid impedance value can be used for many purposes viz. knowing the status of the independent generations in micro-grids, controller tuning in converter systems, islanding detection etc. The proposed dynamic measurement of grid impedance is tested through simulation studies and experimentally. The experiments are conducted with the proposed controller on a scaled down laboratory model of micro-grid with a 1 kVA solar inverter, and the consolidated results of both simulation and experiments are presented. © 2014 IEEE.

More »»

2014

Conference Proceedings

Dr. Balamurugan S., Janarthanan, N., VijayaChandrakala, K. R. M., and Lekshmi, R. R., “Laboratory Model to Teach Real Power Flow Control in Transmission Line”, IEEE Sixth International Conference on Technology for Education. Amritapuri, 2014.

2014

Conference Proceedings

K. P. Ajeesh and Dr. Balamurugan S., “Power Management in Transmission Line Using Active Series Compensation”, Elsevier - International Conference on Emerging Trends in Electrical Engineering. Kollam, 2014.

2014

Conference Proceedings

H. Suresh, Baskaran, A., Sudharsan, K. P., Vignesh, U., Viveknath, T., Sivraj, P., and Vijith, K., “Efficient charging of battery and production of power from solar energy”, Embedded Systems (ICES), 2014 International Conference on. IEEE, pp. 231-237, 2014.[Abstract]


This paper presents a solution for existing power crisis by implementing state of art techniques to tap power from solar energy. The use of Maximum Power Point Tracking (MPPT) technique along with the efficient charge control of the battery helps attaining a maximum output. A digitally controlled DC-DC Buck-boost converter was implemented and connected to Solar PV Array. State of Charge (SOC) of battery is continuously monitored to decide the charging rate of the battery at every instant. Moreover, the dynamic response and SOC are also evaluated using a user-friendly GUI interface which is capable of controlling the system and computing the SOC. An inverter connected to the battery produces an AC voltage which is stepped up to power the domestic load.

More »»

2014

Conference Proceedings

A. Krishna, Nandanan, K., Kumar, S. S. Pradeep, Srihari, K. S., and Sivraj, P., “Design and fabrication of a hexapod robot”, Embedded Systems (ICES), 2014 International Conference on. IEEE, 2014.[Abstract]


The paper focuses on design and fabrication of a hexapod robot that is capable of performing primary tasks such as walking forward, backward, turning right and left, rotating about its position by 180° and traversing on uneven surfaces. The six legged design gives it an added advantage over wheeled robots in terms of stability and flexibility. Each limb is structured to have three degrees of freedom. This robot will serve as a platform onto which additional sensory components can be added for surveillance and autonomous navigation on rugged surfaces. This paper discusses in detail the hardware design of the structure, selection of all parts and components used and software design controlling all activities including the walking style of the robot and balancing on uneven surfaces.

More »»

2014

Conference Proceedings

Dr. Sindhu M. R., R, A., and Nambiar, T. N. P., “Modeling and Control of a three phase Traction Drive and Analysis of Harmonic distortion in Indian Railway Electric Supply System”, Proceedings of International Conference on Innovations in Information Embedded and Communication Systems . pp. 218-222, 2014.

2014

Conference Proceedings

Dr. Anju Pillai S. and T.B., I., “A Power-aware Multiprocessor Based Laboratory Automation and Resource Management System”, IEEE International Conference on Computational Intelligence and Computing Research (IEEE ICCIC). Parks Engineering College, Karumathampatti, Coimbatore, India, pp. 1219-1222, 2014.[Abstract]


Due to the advancements in technology, new and complex techniques are explored and are becoming a common practice. Automation systems are prevalent in all application domains whether it is home automation or factory automation. This paper presents the design and development of a Laboratory Automation and Resource Management System (LARMS). The developed system consists of heterogeneous multiprocessor systems connected and communicated to be a part of distributed networked embedded systems. The main features of LARMS are: automatic lab access through bio-metric sensors, real time clock, automatic device control based on the ambient environment conditions and human presence and the central communication controller to supervise and coordinate the entire system functioning. LARMS is implemented using PIC16F877 microcontrollers and ARM7 TDMI controller. The main contribution of the work is the implementation of a power-aware solution for LARMS. The simulation results manifest the energy solutions provided by the proposed automation and resource management system. More »»

2014

Conference Proceedings

S. Narayan, Prasannakumar, T. V., Prasanth, M., N Velavan, P., N Kumar, P., and Dr. Anju Pillai S., “A priority based exploration algorithm for path planning of an unmanned ground vehicle”, International Conference on Embedded Systems (ICES), 2014 . IEEE, 2014.[Abstract]


Robots plays a vital role and are widely used in surveillance applications where humans cannot reach, due to the associated danger. For such applications, use of Unmanned Ground Vehicle (UGV) is highly demanded by incorporating algorithms for robot localization and path planning. This paper proposes development of a three-wheeled robot using sensors and wireless transmission network and methods to map the unknown environment to a PC through a visual map created using Processing software. The information collected by the robot is to be transmitted wirelessly to a control PC, located far away. A priority based exploration algorithm for path planning to navigate the robot through the unknown even environment avoiding the static obstacles with the help of ultrasonic sensors to reach the destination through the shortest path, is implemented using PIC16F877A microcontroller. More »»

2014

Conference Proceedings

P. Manswini, Reddy, R., Kavitha, D., and , “Mechanical, thermal and dielectric properties of cross-linked polyethylene nanocomposites”, Proceedings of the Third International Conference on Polymer Processing and Characterization (ICPPC 2014), International and Interuniversity Centre for Nanoscience and Nanotechnology. Kottayam, Kerala, India, p. 17, 2014.

2014

Conference Proceedings

K. Singh and Dr. Anju Pillai S., “Schedule length optimization by elite-genetic algorithm using rank based selection for multiprocessor systems”, Embedded Systems (ICES), 2014 International Conference on. 2014.[Abstract]


Scheduling tasks in a multiprocessor system is found to be a NP-hard problem and a considerable amount of time is used up when it is solved using conventional techniques. Therefore, evolutionary algorithms like Genetic Algorithms (GA) have been explored for scheduling tasks in a multiprocessor system. GA can be implemented in various manners. This paper investigates the performance of GA with two different selection operators. This paper also studies how introducing elitism effects the performance of GA. Extensive simulations have been carried out in order to find the better candidate among the two selection operators. The decision is made depending on stability of the GA output, the rate of convergence of output and the ability of GA to give an output which is as close as possible to the actual output.

More »»

2014

Conference Proceedings

K. Singh and Dr. Anju Pillai S., “Energy Optimization of Embedded Processors using Genetic Algorithm”, International Conference on Communication and Computing (ICC-2014). Alpha College of Engineering, Bangalore, India, pp. 237-245, 2014.

2014

Conference Proceedings

M. Välja, Honeth, N., Buschle, M., Lagerström, R., Dr. Sasi K. K., and Nithin, S., “An archimate based analysis of microgrid control system architectures”, Embedded Systems (ICES), 2014 International Conference on. pp. 297-301, 2014.[Abstract]


The architectures containing embedded systems such as microgrid controllers are becoming more complex. While there are several known methodologies for embedded system modeling and design, they mostly cover development related performance issues. There exists a gap in the management of architectures implementing embedded systems for power systems applications. This paper proposes to use enterprise architecture analysis, based on earlier work, to fill that gap. Availability, interoperability and cost analysis are in focus. Enterprise architecture models are important in order to abstract the technical detail for planning and design in order to provide a basis for discussion of technical scalability and cost management amongst stakeholders and technical experts. A microgrid control architecture based example is given to illustrate the analysis possibilities.

More »»

2014

Conference Proceedings

S. Nithin, Kottayil, S. K., and Lagerstom, R., “Direct Load Control on Smart Micro Grid Supported by Wireless Communication and Real Time Computation”, Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing. ACM, New York, NY, USA, p. 17, 2014.[Abstract]


A load management scheme applied to micro grid, in a smart grid environment is presented in this paper. A smart micro grid simulator is developed and used for the validation of the study. The simulator is provided with synchronized measurement facility that is wirelessly connected to computational network. The proposed load management scheme is a direct load control adopted as a demand response program executed on frequency based decisions. More »»

2014

Conference Proceedings

D. Jose and R.R., L., “An Interactive GSM based public transport Enquiry system”, Int. conf. on Emerging Trends in Electrical Engineering. Elsevier Publications, pp. 58-61, 2014.

2014

Conference Proceedings

S. Selva Kumar and Harshan, A., “EOG based Eye Motion Tracking”, N. ICC-2014. Bengaluru, 2014.

2014

Conference Proceedings

V. Sudev and Parvathy, S., “Switched boost inverter based Dc nanogrid with battery and bi-directional converter”, Circuit, Power and Computing Technologies (ICCPCT), 2014 International Conference on. 2014.[Abstract]


This paper deals with a switched boost inverter based dc nano grid. A battery is also interfaced with the grid such that in the absence of source, the battery will be used to supply the load. Switched Boost Inverter (SBI) is a buck-boost type hybrid converter derived from Inverse Watkins Johnson (IWJ) Topology. This converter can supply both DC and AC loads simultaneously which makes it suitable for DC nanogrid applications. For the working of SBI, it utilizes shoot-through state of the inverter bridge. So, the traditional Pulse Width Modulation (PWM) techniques of Voltage Source Inverter (VSI) have to be modified to incorporate the shoot-through interval in each switching cycle, so that they are suitable for SBI[3]. This paper discuses the PWM control strategy developed for SBI and proposes a novel technique for implementing the same using MATLAB Simulink A bidirectional converter is also developed to interface the battery with the dc grid. More »»

2014

Conference Proceedings

L. Asok and .P, B., “Heart Rate Measurement System for Heart Status Monitoring of Cardiac Patients”, International Conference on Innovations in Information Embedded and Communication Systems-2014. pp. 106-109, 2014.

2014

Conference Proceedings

N. Nandhini, A. Suyampulingam, Swetha, R., Ramya, R., and Nandini, C., “Variable speed wind turbine emulator”, International Conference on Emerging Trends in Electrical Engineering (ICETREE 2014). Elsevier, T.K.M College of Engineering, Kollam, pp. 48-52, 2014.

2014

Conference Proceedings

A. Priyadhars A.M. and Kumar, A. G., “Design and fabrication of cost effective mobility and navigational tool for visually challenged”, IEEE International Conference on Green Computing, Communication and Electrical Engineering (ICGCCEE 2014). KMCH Conference Centre, Coimbatore, India, 2014.

2014

Conference Proceedings

A. .M and .Jayabarathi, R., “Conceptual Model of Real Time Power Quality Analyzer Using Embedded System”, International conference on renewable Energy technologies. Coimbatore Institute of Technology,Coimbatore, pp. 598-605, 2014.

2014

Conference Proceedings

A. Sankary.S and Jayabarathi, R., “Super-Capacitor Integrated Wind Energy Conversion System with Parallel Connected Chopper Topology for Wind Gust”, econd National Conference on Power Electronics in Sustainable Energy Development. Amrita Vishwa Vidyapeetham,Coimbatore, pp. 95-101, 2014.

2014

Conference Proceedings

P. C.B. and .P, S., “Embedded Based Demand Side Management for Smart Grid Environment”, International Conference on innovations in Information. Embedded and Communication Systems, Coimbatore, pp. 83-8, 2014.

2014

Conference Proceedings

S. Jayachandran and .P, S., “Precise Frequency Estimation in Power System Network”, nternational Conference on Advances in Engineering technology and Management. Madurai, pp. 131-134, 2014.

2014

Conference Proceedings

P. M.S., .P, B., and .T.B, I., “Islanding Detection of a Single Phase Distributed Generated Systems”, Second National Conference on Power Electronics in Sustainable Energy System Development (NCPSE -2014). pp. 116-121, 2014.

2014

Conference Proceedings

S. Meena and Prakash, N. K., “Simulation of Dynamically Reconfigurable Wireless Sensor Node”, Electronics and Communication Systems (ICECS), 2014 International Conference. 2014.

2014

Conference Proceedings

S. Meena and N. Prakash, K., “Runtime Reconfiguration of Wireless Sensor Node Using FPGA”, Proceedings of 5th International Conference on Computing, Communication and Networking Technologies (ICCCNT). 2014.

2013

Conference Proceedings

G. Pratyush, Jaganath, B., Prithivin, L., Sivraj, P., and V, K., “GSM Controlled Topple Resistant Spybot”, India Educators' Conference (TIIEC), 2013 Texas Instruments. IEEE, Bangalore, pp. 237-242, 2013.[Abstract]


Hostage crisis has become a common act by terrorists. Recent siege in Algeria has shook the world and the death toll still remains uncertain. Algerian Prime Minister, Abdelmalek Sellal, said 37 foreign nationals from eight countries and one Algerian died in the siege with five more people unaccounted for. Soldiers need to act spontaneously and contain the situation. They need to have a rough picture about the situation. RC controlled planes move fast and cannot go inside the buildings without being noticed. And also during battles on hilly terrains, spying becomes a difficult task and few examples mentioned above will not be able to do the task. Anything that helps soldiers survive and do their jobs better is certainly welcome. An autonomous robotic vehicle is an excellent choice as it meets the requirements. The vehicle should be able to spy in areas where human access is restricted and also it should not topple when spying on rough terrain and could be controlled from anywhere without range restrictions. In future there might be a time when all the human soldiers are replaced with robots.

More »»

2013

Conference Proceedings

Dr. Anju Pillai S. and Isha, T. B., “ERTSim: An Embedded Real-time Task Simulator for Scheduling”, IEEE International Conference on Computational Intelligence and Computing Research(ICCIC). Vickram College of Engineering, Madurai, India, pp. 724-727, 2013.

2013

Conference Proceedings

Dr. Anju Pillai S., Punnekkat, S., and Isha, T. B., “Energy Minimization in Real Time Embedded Systems by Control of Context Switches”, Pro. of Second International Conference on Smart Technologies for Materials, Communication, Controls, Computing and Energy (ICST). Vel Tech Dr. RR & Dr. SR Technical University, Chennai, India, pp. 428-432, 2013.

2013

Conference Proceedings

E. J. Jelmy, Mohanraj, S., Rajamani, A. R., Kumaresan, D., and Kothurkar, N. K., “Secondary Doped Polyaniline as Counter Electrode in Dye Sensitized Solar Cells FAPS-MACRO-2013”, IISc Bangalore. 2013.

2012

Conference Proceedings

Dr. Anju Pillai S. and Dr. Isha T. B., “A new real time simulator for task scheduling”, 2012 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2012. Coimbatore, Tamilnadu, 2012.[Abstract]


There are many new and existing scheduling policies within the field of real time scheduling theory. But, only a few of them are useful for real time implementation. The main difficulty is in reforming the Real Time Operating System (RTOS) to integrate the scheduling policy, which needs a skilled programming. Due to this hinderance, it is difficult to test and evaluate different policies and compare their performances. So a simulation study becomes inevitable. The available simulators mainly refer to only certain class of scheduling problem with particular execution sequence. This paper presents a software simulator which can be used to measure the performance of existing and new scheduling algorithms. The simulator is also integrated with different feasibility analysis and calculation of different scheduling aspects. © 2012 IEEE.

More »»

2012

Conference Proceedings

R. K. Chamarthi, Sriramachandiran, S., Balaji Hariharan, Sivaramakrishnan, H., and Supriya, P., “Harmonic current estimation using mutual information based independent component analysis”, 2012 IEEE 5th Power India Conference, PICONF 2012. Murthal, Haryana, pp. 1-4, 2012.[Abstract]


Harmonic analysis is an integral part of system planning, design and operation of power systems. Harmonic voltage and current measurements require synchronized measurements which are complicated and more expensive than ordinary measurements. Generally a large number of measurements are required to estimate the harmonic sources using Harmonic State Estimation techniques. In this work, the harmonic current profile in the power system is estimated using minimal information on the power system structure. A blind signal processing technique using Independent Component Analysis based on basic neural network is applied for the detection of harmonic components generated by nonlinear current loads. The harmonic current estimation is carried out on a five bus system and the results obtained in simulation are transported to the embedded platform.NET Micro framework board. © 2012 IEEE.

More »»

2012

Conference Proceedings

N. Honeth, Sasi, K. K., Nithin, S., Lagerström, R., and Buschle, M., “An Extended ArchiMate Metamodel for Microgrid Control System Architectures”, In The 9th IET International Conference on Advances in Power System Control, Operation and Management. 2012.

2012

Conference Proceedings

S. .Srinath, Selvan, M. P., and Kumar, A. G., “Simulation and Experimental verification of transformationless control of series active filer for mitigating load voltage harmonics”, National Power Systems Conference 2012 (NPSC 2012). IIT BHU,Varanasi, pp. 150-155, 2012.[Abstract]


This paper presents the performance analysis of Series Active Filter (SeAF) empl oying a transformation less control approach based on Sinusoidal Pulse Width Modulation (SPWM) switching. The percentage total harmonic distortion of the compensated load voltage has been considered as a measure for assessing the performance. The results obtained in MATLAB simulation and laboratory experimentation confirm that the performance of SeAF with transformation less control is successful in maintaining the load voltage harmonics within the limits recommended by IEEE-519 standards. More »»

2012

Conference Proceedings

S. .Srinath, Selvan, M. P., and Kumar, A. G., “Experimental verification of Unified Power Quality Conditioner with Transformationless combined mode control”, National Power Systems Conference 2012 (NPSC 2012. IIT BHU,Varanasi, pp. 163-168, 2012.[Abstract]


This paper presents the performance analysis of a Unified Power Quality Conditioner (UPQC) with transformation less Combined Mode Control (CMC) approach. DSP controller TMS320LF2407A is used to realize the switching pulses for the APFs of UPQC. The %THD of load voltage and source current has been considered as a measure for assessing the performance. The experimental results confirm the satisfactory operation of UPQC in mitigating the harmonics. Keywords- Power Quality, Unified Power Quality Conditioner( UPQC), Series Active Power Filter (SAPF), Shunt/Parallel Active Filter (PAPF), Voltage Source Inverter (VSI), Hysteresis Control, Sinusoidal Pulse Width Modulation (SPWM), DSP Controller. More »»

2012

Conference Proceedings

A. Thangavelu, Varghese., M. V., and Vaidyan, M. V., “Novel FPGA based controller design platform for DC-DC buck converter using HDL Co-simulator and Xilinx System Generator”, Industrial Electronics and Applications (ISIEA), 2012 IEEE Symposium on. pp. 270-274, 2012.[Abstract]


This paper proposes smart Field programmable gate array (FPGA) based DC-DC buck converter control system design platforms using Xilinx System Generator and hardware descriptive language (HDL) Co-simulator. In traditional way of FPGA based implementation of control system, interaction occurs between the controller and system only in the final stage of implementation onto the hardware. With that approach faults can be spotted only after the implementation in FPGA and results in loss of design time and extra expenditures. Also extra HDL code to generate stimuli for simulation of the control system incurs time loss and is difficult for complex systems. The proposed Xilinx System Generator and HDL Co-simulator platform based approaches help the designer to make fault diagnosis, complete analysis of the system, evaluation of system performance, and enhancement of the system performance prior to final implementation onto hardware. This results in reduction in design time and faults and also ensures that the designs meet design specifications. In industrial applications where design time is very crucial, reduction in design time and faults help in reducing the expenditures and in turn overall product cost. A comparative evaluation and criteria for selection of approaches is also discussed.

More »»

2011

Conference Proceedings

A. Anand S. and Lekshmi R. R., “Automated Control of Real Power Flow through Transmission Line Using TSSC and PIC Micro-Controller”, International Conference on Enhancements in Power Electronics and Controls. PSG College of Technology, 2011.

2009

Conference Proceedings

Dr. Anju Pillai S., Thekkilakattil, A., Saravanan, V., and Aysan, H. ¨useyin, “Eureka: A Team of Autonomous Mobile Agents Competing in CyberRescue 2009”, The 30th IEEE Real-Time Systems Symposium. The Fairmont Hotel, Washington, D.C., USA., 2009.

2008

Conference Proceedings

Lekshmi R. R. and Devaraj, D. D., “Evolutionary computational Techniques for OPF with FACTS”, National Conference on Computational Intelligence on Power Apparatus and Systems-08. SRM University, Chennai, 2008.

2007

Conference Proceedings

V. P. Kumar, Meera, K. S., and Dr. Sasi K. K., “Transient Fault Response of Grid Connected Wind Electric Generators”, Power Electronics, Drives and Energy Systems, 2006. PEDES '06. International Conference on. IEEE, 2007.[Abstract]


The paper deals with simulation studies on grid connected wind electric generators (WEG) employing squirrel cage induction generator (SCIG) and doubly fed induction generator (DFIG). Their dynamic responses to wind speed variations and transient faults on transmission line are studied. More »»

Publication Type: Book

Year of Publication Publication Type Title

2012

Book

K. P. Soman and Dr. Ramanathan R., Digital Signal and Image Processing-The Sparse Way, 1stEditionst ed. Elsevier India, 2012, p. 480.[Abstract]


Digital Signal Processing Is Everywhere, It Is Pervasive And Ubiquitous. Its Methodologies Are Evolving And Spreading Its Wings Into Many Exciting New Directions Such As Networking, Bioinformatics, Digital Security And Forensics, And Spoken Language. As A Technology, It is a Phantom Technology Which Is Working From Behind The Scenes To Make Most Of Modern Day Devices Work. Designed For Both Undergraduate And Post Graduate Courses, This Book Provides A Comprehensive Insight Into The Linear Algebra And Optimization View Of Signal Processing That Can Be Readily Extended To Advanced Image Processing, Wavelet Theory And Compressive Sensing. This Book Shows How The Entire Class Of Problems In Signal And Image Processing Can Be Put In A Linear Algebra And Optimization Framework. More »»