Robust control approach for stability and power quality improvement in electric car

This paper proposes a combined electrical and mechanical control approach (ECA and MCA) fora multiconverter multimachine system (MCMM) basedon electric car (EC) operation. ECA is designed by using a fuzzy logic-based robust controller for improving the power quality (PQ) of the EC. The main role of the ECA is to compute the actual speed and angle of the machine by sensing the voltage and current component of the system. For PQ improvement, the ECA also facilitates active and reactive current components by sensing the appropriate machine torque, wheel torque, and dc-link voltage of the inverter. In addition to that, MCA is proposed for improving the stability of the EC by properly tracking the wheel torque during dynamic state conditions like slippery road conditions. To design MCA, the appropriate mathematical modeling of the car is proposed by considering the wheel and road contact, gearbox, the different force acting on the car, and mechanical coupling between the car components. A torque model approach is suggested to track the appropriate torque produced on the wheel. The performance of the proposed controller with the EC modeling is tested by using MATLAB/Simulink software under different road conditions.