Comparative Analysis of Vector Controlled PMSM Drive with Particle Swarm Optimization and Ant Colony Optimization Technique

Abstract

This paper presents performance analysis of two optimization techniques to control speed of the Permanent Magnet Synchronous Motor (PMSM). Here, Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) method are used to determine the integral gain and proportional gain of PI (proportional integral) controller. For the analysis, simulation is carried out in MATLAB/SIMULINK for three different cases such as constant speed with no-load condition, variable speed at no-load condition and constant speed with loading condition. Different parameters such as torque ripple, peak time, settling time, rise time and maximum overshoot are analyzed in this paper for both the optimization technique. From the result it can be observed that ACO tuned PI controller in PMSM drive give better performance comparing to PSO tuned PI controller under different condition.