Qualification: 
Ph.D, M.Tech
s_selvakumar@cb.amrita.edu

Dr. S. Selva Kumar currently serves as Assistant Professor (SG) at the Department of Electrical and Electronics Engineering at School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu. He joined Amrita in the year 2008 before which he was working as a Lecturer in VLB Janakiammal College of Engineering and Technology, Coimbatore. He obtained his Bachelor’s degree in Electrical and Electronics Engineering from Sri Ramakrishna Engineering College, Bharathiyar University, Coimbatore in 2001 and Master’s degree in Process Control and Instrumentation from Annamalai University, Chidambaram, Tamil Nadu, in 2005. He obtained his Ph. D. from Anna University, Chennai in the year 2016. His doctoral thesis was titled “Development of Optimal Controller for Parallel Operation and Interconnected Operation of Heavy Duty Gas Turbine Plants.”

Recognition

  • January 2016 :
    Best Paper Award in IEEE Biennial International conference of power and energy systems towards sustainable energy PESTSE-2016, IEEE Bangalore section

Publications

Publication Type: Journal Article

Year of Publication Title

2018

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.

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2018

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.

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2018

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

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2018

P. L. Santhosh Kumar, I. Thirunavukkarasu, S. Selva Kumar, and V.S. Bhat, “Decentralized pi controller with decoupler for the distillation column”, International Journal of Pure and Applied Mathematics, vol. 118, pp. 9-14, 2018.[Abstract]


The article present a design of decentralized Proportional Integral (PI) controller with decoupler for the Pilot Plant Binary Distillation Column. Decoupler is used to minimize the interaction combining it with decentralized control algorithm. The PI controller is designed using Non-Dimensional Tuning (NDT) method and Simplified Internal Model Control (SIMC) technique. The simulation of NDT and SMIC control has been adopted to study the main effect and the interaction effect of the Pilot Plant Binary Distillation Column. The controller is designed and implemented on a Pilot Plant Binary Distillation Column.

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2017

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.

2017

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).

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2016

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

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.

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2015

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

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

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

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.

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2013

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.

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Publication Type: Conference Paper

Year of Publication Title

2017

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.

2016

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.

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2015

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

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

2013

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.

2012

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.

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Publication Type: Conference Proceedings

Year of Publication Title

2014

S. Selva Kumar and Harshan, A., “EOG based Eye Motion Tracking”, N. ICC-2014. Bengaluru, 2014.