Qualification: 
M.Tech
mini_sujith@blr.amrita.edu

Dr. Mini Sujith joined Amrita Vishwa Vidyapeetham, Bangalore Campus in the year 2002 as a faculty in Electrical and Electronics Engineering department. Presently she is serving as Vice-Chair and Assistant Professor (Selection Grade) of Electrical and Electronics department. She has Industrial Experience of more than 9 years.

She did her B.Tech in Electrical Engineering from TKMCE, Kollam, Kerala University and M.Tech in Power Electronics and Ph.D. Faculty of Electrical and Electronics Engineering Sciences from RVCE, Bengaluru, under VTU.  Her Ph.D. dissertation was on “Solutions to Improve Electric Drive control features”.

Her present research focusses and works are on Electric Vehicles, - V2G, G2V, V2V, on-board integrated charging, wireless power charging, Smart Grid- IoT applications in Smart Grid Protection and Stability, Smart Metering and rapid product IoTization,, Smart sensing and Control and protection networking, Phasor Measurement Unit (PMU) and Islanding detection, Machine learning and deep learning, Virtualization of Micro grid etc

Her earlier work mainly focussed on adaptive controllers for Direct Torque controlled Induction motor drives, Multilevel inverters for drives, Fuel cell, various power converters and control for renewable energy sources etc. 

She is currently guiding B.Tech., M.Tech. and Ph.D. scholars in their research and dissertation work. She has served as reviewer for research papers in reputed Journals and conferences. She is a IEEE Senior member and member of IEEE Power Electronics Bangalore Chapter and member of IEEE Industrial Electronics (IES) and mentor of IEEE Power Electronics Student chapter at Amrita.

Education

YEAR DEGREE/PROGRAM INSTITUTION
Registered in  the year-2012 Ph.D(Pursuing) R.V College of Engineering, Bangalore, Visvesvaraya Tecnological University(VTU)
2006-2008 M.Tech-Power Electronics R.V College of Engineering, Bangalore, Visvesvaraya Tecnological University(VTU)
1998 Advanced Diploma in Software Exports Technologies Asset International certified Computer Courses, APTECH Ltd
1988 B.Tech - Electrical Engineering T.K.M College of Engineering, Kollam, Kerala University

Publications

Publication Type: Conference Paper

Year of Publication Title

2020

S. Navinchandran and Mini Sujith, “Bidirectional On-Board Single Phase Electric Vehicle Charger with High Gain Boost Converter for V2G Application”, in 2020 Fourth International Conference on Inventive Systems and Control (ICISC), Coimbatore, India, 2020.[Abstract]


This paper presents a bidirectional on-board single phase electric vehicle charger with a primary aim to achieve Vehicle to Grid (V2G) and Grid to Vehicle (G2V) application. The bidirectional charger configuration mainly consists of a buck converter and a high gain boost converter setup. The battery charging and discharging is based on the state of charge of the battery. Simulation is carried out using matlab simulink software to validate bidirectional on-board charger capabilities with high gain boost converter.

More »»

2020

K. Sirivennela and Mini Sujith, “Wireless power transfer using resonant converters for Defence application”, in 2020 Fourth International Conference on Inventive Systems and Control (ICISC), Coimbatore, India, 2020.[Abstract]


Wireless Power Transfer (WPT) attracts more interest in recent years. This paper deals with design and analysis, of WPT using series resonant full bridge converter for defence application. In this paper, inductive coupling method is used to transfer 100W of power wirelessly for the distance of 3mm to lcm. Here, the complete design of resonant tank and load factor has been explained and simulation analysis of both open loop and closed loop is carried out and compared the results using LTSPICE software.

More »»

2020

S. Guruvayurappan, Mini Sujith, and Anand, A., “Non-Isolated Point-Of-Load Converter for Space Application”, in 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), Bangalore, India, 2020.[Abstract]


With increasing demand for high power levels at optimized size, Point-of-Load (POL) converters are gaining popularity. Going by the name, POL converters are dc-dc converters dedicatedly designed for a particular load. These converters find their main use in space and defense applications that require very low and regulated voltages and higher currents, fast switching operations. This paper deals with the design and analysis of a POL system, for a space application fed from a 12V source, at 500 kHz. Closed loop implementation has been done using peak current mode control and the hardware results have been analyzed.

More »»

2020

V. Gayathry and Mini Sujith, “Machine Learning Based Synchrophasor Data Analysis for Islanding Detection”, in 2020 International Conference for Emerging Technology (INCET), Belgaum, India, 2020.[Abstract]


Twentieth century has witnessed a tremendous growth in the share of renewable resources in the power grid. Along with the various benefits, this has also raised several technical challenges as well as concerns in system operation, control and protection. These concerns have led to the introduction of advanced metering and protection equipments such as Phasor Measurement Units (PMUs). The highly sampled `Big Data' recorded by PMUs contain significant information about the health of the system. Efficient and timely analysis of this data can address most of the power system concerns such as voltage stability, power system modeling, fault event monitoring, unintentional islanding, state estimation etc. This paper presents a method to detect unintentional islanding using machine learning technique on PMU data. A grid connected PV system is simulated in SIMULINK for data generation. Machine Learning algorithm is adapted to train and further test the data. The results show very good accuracy on test data.

More »»

2019

S. G, Mini Sujith, and Anand, A., “Voltage Mode Controlled niPOL for Space Application”, in 2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), 2019.

2019

Mini Sujith, .C, S., Satheesh, B. H., and Dinesh, “Low Speed Estimation of Sensorless Low Speed Estimation of Sensorless Direct Torque Controlled Induction Motor Drive Using Extended Kalman Filter with Adaptive Speed Adjustment Technique”, in TENCON 2019, IEEE, 2019.

2019

A. Joseph, Vineetha, K. V., Kurup, D. G., and Mini Sujith, “A Neural Network Based Overvoltage Prediction System for Long Cable Issue”, in Intelligent Computing, Information and Control Systems, Cham, 2019.[Abstract]


In most electrical applications, the motor is fed by Pulse Width Modulated(PWM) inverters and by design they are usually in separate locations, requiring long motor leads or cables. Overvoltage is a common phenomenon in AC motor drives that are fed by long cables from PWM inverters, as they use Insulated Gate Bipolar Transistors (IGBT) with small rise time and fall time. This paper proposes an Artificial Neural Network based system to predict overvoltage at the motor terminal with long cable using the parameters cable length and motor capacity.

More »»

2019

D. Chalagulla, Jayateertha, J., Kudimi, C. R., Manitha, P. V., and Mini Sujith, “Efficient energy utilization control with remote network access”, in Proceedings of the 2018 International Conference On Communication, Computing and Internet of Things, IC3IoT 2018, 2019, pp. 262-266.[Abstract]


In the past two decades there is a drastic improvement in the technology. The most common word is IOT (Internet of Things) which leads to improvement of Home automation. Switching ON the appliances at home and forgetting to turn them OFF leads to an increase in the daily power consumption. This paper presents the controlling of home appliances on the basis of pre-specified time which is defined from the user's device; Arduino Ethernet shield, real-time clock, sensors and MOSFET keeping the internet as the medium of communication. This enables the user to monitor the energy usage and assists in minimizing the energy wastage. This prototype is designed for a low cost such that it satisfies the need of different classes of people by notifying them about their consumption by the means of an alert message. The message is sent when power consumption exceeds the limit set by the user making it more user-friendly. An additional task performed by the system is to isolate the load during the fault condition. © 2018 IEEE.

More »»

2018

A. N. Kumar, Joji, S., Tangirala, A., and Mini Sujith, “A 31-level MLI Topology with Various Level-Shift PWM Techniques and its Comparative Analysis”, in 2018 3rd International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, 2018.[Abstract]


This paper highlights the comparative analysis of carrier wave based modulation techniques on a single phase extendable reduced switch topology. The topology is implemented using level shift PWM (pulse width modulation) and a detailed analysis of voltage and current total harmonic distortion (THD) for each pulse width modulation (PWM) control strategy is carried out. The extendable topology uses 4 dc sources and 10 switching devices which helps to minimize the complexity of the circuit and overall cost. The performance of the switching strategies for 31-level is carried out in Matlab/Simulink.

More »»

2018

E. P. Anila and Mini Sujith, “Multi Level Inverter with Reduced Number of Switches for Drives”, in 2018 International Conference on Current Trends towards Converging Technologies (ICCTCT), Coimbatore, India, 2018.[Abstract]


Multi Level Inverter generates output voltage with very low harmonic distortion. This is achieved by providing multiple steps in the output voltage. They are used for high power applications with improved power quality. Circuit complexity is a major issue in most of the conventional topologies of Multi Level Inverters. As the number of levels increases, the no of switches will increase and the switching scheme will be more complicated. In this paper, a modified reduced switch inverter topology with unequal switching scheme is used to drive a single phase induction motor load. Simulation and result analysis of this 11 level MLI is carried out using PSIM software and hardware implementation is carried out to evaluate the performance to prove the effectiveness of the MLI.

More »»

2018

A. N. Kumar, Tangirala, A., Joji, S., Diwagar, S. V., and Mini Sujith, “Comparative analysis of switching strategies for harmonic minimization in MLI”, in RTEICT 2017 - 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, Proceedings, 2018, vol. 2018-January, pp. 861-868.[Abstract]


This paper emphasizes on different modulation techniques on a single phase extendable topology. The topology is analyzed for different levels of output voltage generated with a comparative study of voltage and current total harmonic distortion (THD) for various pulse width modulation (PWM) control strategies. The extendable topology uses receded number of dc sources and switching devices over the conventional cascaded H-bridge inverter, thereby reducing the circuit ramification and cost. The performance of the switching strategies for 7-level and 31-level is verified by simulation results. © 2017 IEEE.

More »»

2014

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

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

Mini Sujith, Sreenivasan, R., and Dinesh, M. N., “Low Speed Estimation of DTC Controlled Induction Motor Drive Using MRAS”, in Electronics, Communication and Computational Engineering (ICECCE), 2014 International Conference on, 2014.[Abstract]


Direct Torque controlled (DTC) induction motor drive gives direct control of stator flux and electromagnetic torque. Conventional speed sensors are replaced in sensor less DTC to improve the reliability, noise immunity and to reduce the complexity of the system. In sensor less DTC the rotor speed estimation at low speeds is degraded by the stator resistance parameter variations due to temperature, dead time effects and voltage drop.

More »»

2014

Mini Sujith, ,, and Dinesh, M. N., “LC Clamp Filter for Voltage Reflection due to Long Cable in Induction Motor Drives”, in Emerging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD), 2014 Annual International Conference on, 2014.[Abstract]


In many industrial applications, Pulse Width Modulated (PWM) inverter-fed induction motors needs long cables. The PWM inverter output voltage pulses behave like
travelling waves on these cables. This phenomenon causes voltage reflection that results in over voltage at the motor terminals. Over voltage at the terminals of the motor is attributed by the rise time of the inverter pulses, length of the power cable that connects the inverter

More »»

Publication Type: Journal Article

Year of Publication Title

2019

Mini Sujith, Saranya, C., Satheesh, B. H., and Dinesh, M. N., “Low Speed Estimation of Sensorless Direct Torque Controlled Induction Motor Drive Using Extended Kalman Filter with Adaptive Speed Adjustment Technique”, TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), 2019.[Abstract]


This paper mainly focuses on the accurate estimation of speeds ranging from very low speed to rated speed to control sensorless Direct Torque Controlled (DTC) Induction Motor Drives (IMD). Extended Kalman Filter (EKF) is used to estimate the speed from the noisy data based on state space method and recursive algorithm. Previous studies suggest the development of a new state space model for estimation in EKF, with load torque as an input variable and not as an estimated quantity. In order to eliminate the dependency on load torque, this paper projects the derivation of a novel adaptive speed adjustment equation and its use for speed estimation in EKF. The new state space model developed is validated using MATLAB-Simulink platform for speeds ranging from low speed to rated speed at rated torque and various other torque conditions.

More »»

2018

Mini Sujith, P.V., B., Satheesh, H., and M.N., D., “Real Time Validation of EKF Estimator for Low Speed Estimation in DTC IMD”, International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 9, p. 433, 2018.[Abstract]


Low speed estimation in DTC IMD is not accurate due to the presence of transient offset, drift and domination of ohmic voltage drop in the measured stator voltages and currents used for estimating the stator flux required for accurate estimation of speed. EKF is a nonlinear, recursive adaptive algorithm capable of estimating speed ranging from very low speed to rated speed using equation of motion from noisy measured currents and voltages based on state space technique. In the previous work a new state space model of IM was developed for estimation in EKF by feeding load torque profile as an input variable instead of estimating it by considering load torque as constant, validated using MATLAB-Simulink software. In this paper real time validation of the EKF controller with load profile fed as input for speed estimation in DTC IMD is carried out using OPAL-RT simulator and real time results validates the simulation results and proves the effectives of the new EKF for low speed estimation in DTC IMD

More »»

2018

Mini Sujith, P., S., Satheesh, H., and N, D., “Low Speed Estimation of Sensorless DTC Induction Motor Drive Using MRAS with Neuro Fuzzy Adaptive Controller”, International Journal of Electrical and Computer Engineering (IJECE), vol. 8, p. 2691, 2018.[Abstract]


This paper presents a closed loop Model Reference Adaptive system (MRAS) observer with artificial intelligent Nuero fuzzy controller (NFC) as the adaptation technique to mitigate the low speed estimation issues and to improvise the performance of the Sensorless Direct Torque Controlled (DTC) Induction Motor Drives (IMD). Rotor flux MRAS and reactive power MRAS with NFC is explored and detailed analysis is carried out for low speed estimation. Comparative analysis between rotor flux MRAS and reactive power MRAS with PI as well as NFC as adaptive controller is performed and results are presented in this paper. The comparative analysis among these four speed estimation methods shows that reactive power MRAS with NFC as adaptation mechanism shows reduced speed estimation error and actual speed error at steady state operating conditions when the drive is subjected to low speed operation. Simulation carried out using MATLAB-Simulink software to validate the performance of the drive especially at low speeds with rated and variable load conditions.

More »»

2016

Mini Sujith, Joshi, M., B. Satheesh, H., and N, D. M., “Active LC Clamp dv/dt Filter for Voltage Reflection due to Long Cable in Induction Motor Drives ”, International Journal of Electrical and Computer Engineering (IJECE) , vol. 6, pp. 1456 - 1469 , 2016.[Abstract]


This paper presents an active LC clamped dv/dt filter to mitigate the over voltages appearing across the motor terminals. The over voltages at motor terminal is due to voltage reflection effect of long motor cable connected between high frequency PWM inverter having high dv/dt switching waveforms and ac motor drives. The voltage reflection due to fast switching transients can be reduced by increasing the rise time and fall time of inverter output voltage pulses. The most commonly available mitigating technique is a passive dv/dt filter between inverter and cable. Since, size, cost and losses of passive LC dv/dt filter is more, an active dv/dt filtering technique is used to reduce over voltage at motor terminals. Active LC clamp filtering technique used here consists of a small LC filter designed for a single motor cable length which can be used for any lengths of cable up to 1000m only by changing the active control of the PWM pulses to achieve the desired voltage slope during voltage transition period. The basic principle of active dv/dt filer used here is to charge and discharge the capacitor in the filter with modified PWM pulses to increase the rise time and fall time of output voltage pulses without any extra devices to handle the transient response of the LC filter. Detailed investigation is carried out by simulation using MATLAB-Simulink software with active control of common LC clamp dv/dt filter suitable for various cable lengths ranging from 100 m to 1000 m. Comparative analysis is done with active dv/dt filter designed with a common LC clamp filter and active LC clamp dv/dt filter designed for various cable lengths and also with diode clamped passive dv/dt filter. The results proves the effectiveness of the active common LC dv/dt filter to mitigate the over voltages at motor terminal for cable lengths up to 1000m. More »»

2015

Mini Sujith, Saranya, C., B Satheesh, H., and Dinesh, M. N., “Low Speed Estimation in Sensorless Direct Torque Controlled Induction Motor Drive using Extended Kalman Filter”, International Journal of Power Electronics and Drive Systems, vol. 6, 2015.[Abstract]


Sensorless Direct Torque Control (DTC) is a powerful control scheme for high performance control of induction motor (IM) drives, which provides very quick dynamic response with simple structure and a decoupled control of torque and flux. The performance of the DTC drive greatly depends on the accuracy of the estimated flux components, torque and speed, using monitored stator voltages and currents. Low speed estimation is a great challenge because of the presence of transient offset, drift and domination of ohmic voltage drop. Extended Kalman filter (EKF) is a non linear adaptive filter which performs the process of finding the best estimate from the noisy data based on state space technique and recursive algorithm. This paper mainly focuses on the accurate estimation of speed ranging from very low speed to rated speed using the equation of motion. A new state space model of the IM is developed for estimation in EKF, with load torque as an input variable and not as an estimated quantity which is the case in most previous studies. The developed algorithm is validated using MATLAB-Simulink platform for speeds ranging from low speed to rated speed at rated torque and at various torque conditions. An exhaustive analysis is carried out to validate the performance of DTC Induction motor drive especially at the low speeds. The results are promising for accurate estimation of speed ranging from low speed to rated speed using EKF. More »»

2015

Mini Sujith, Backer, S., Satheesh, B. H., and M.N, D., “MRAS Speed Observer for Low Speed Estimation in Sensorless DTC-SVM Induction Motor Drives”, International Journal of Applied Engineering Research , vol. 10, no. 17, pp. 37751-37757, 2015.