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Performance Comparison between GA and PSO for Optimization of PI and PID controller of Direct FOC Induction Motor Drive

This Paper presents a comparative study of Genetic Algorithm method (GA) and Particle swarm optimization (PSO) method to determine the optimal proportional-integral (PI) and proportional-integral-derivative (PID) controller parameters, for speed control of a Field Oriented Control (FOC) induction motor. The FOC induction motor has been modeled in MATLAB (SIMULINK); the GA and PSO algorithm has been programmed and implemented in MATLAB. Comparing with traditional Ziegler-Nicholson method and the evolutionary algorithms (EA), it has been observed that during optimizing the controller parameters of a FOC IM drive with PSO the performance of the controller is improved for the step input in speed control as well as for speed tracking problem more efficiently, than Ziegler – Nicholson method and EAs.