Hardware and Software Skills:
Real-Time Systems: • Opal RT Real Time Simulators • F28335 Texas Instruments DSP board • dSPACE 1104 control board Simulation Software • MATLAB/Simulink, Control systems toolbox • Opal RT • C, C++, Java, Assembly, Keil, Code Composer Studio. Editing and Drawing Software: • Microsoft Office, Open Office • Latex • CorelDRAW • Altium •PSpice •PSIM
Hub and Spoke Consortia for e2Wand e3W Electric Drives (Under Dr. Deepak Fulwani)–
Design, Development and Prototyping of Advanced IM and Synchronous Reluctance Drives and Vehicle Integration for e2Wand e3w Applications Dr. Deepak Fulwani, Electrical Engineering Department IIT Jodhpur Developing a robust sliding mode control based direct torque control for a high current low voltage induction motor with applications to the Electric Vehicles. The non-linear controller is implemented on the Texas F28335 board. The control will ensure desired speed regulation in presence of the road (load torque) profile.
Development of System to Mitigate Second Order Harmonic Ripple in AC/DC Microgrid using Advanced Control Techniques (Core Research Grant, SERB-DST) (Under Dr. Deepak Fulwani)–
MLACCEPT: Machine Learning Enhanced Automated Circuit Configuration and Evaluation of Power Converters (Under Dr. Su)
In this work a machine learning based automated power converter circuit designing scheme is being developed. The methodology learns the way a power converter is formulated and is used to assist the power electronics design engineers and researchers with the converter design process. Different non-isolated and isolated topologies of power converter are taken into consideration.