An Optimization Based PID Controller tunning approach for the induction motor employed in an Electric Vehicle

Abstract

An electric motor is the only prime mover employed for operating a pure electric vehicle. The overall tractive movement of the vehicle depends on the operational characteristics of the motor. The fuel efficiency also depends on the performance of the motor. The output parameters of a motor are usually torque and speed. These output parameters must be optimally controlled in order to meet the required demand/ drive cycle. So, a proper feedback control strategy is required in order to dynamically control the motor for the set reference. The proposed research investigation employs an optimized PI controller for tracking the set operational speed of the motor. The adaptive tuning of controller parameters yielding minimum error is obtained by using Modified Particle Swarm Optimization. The realistic specification or parameters of three phase induction motor are obtained from JMAG.