Speed Control Method Using Genetic Algorithm for Permanent Magnet Synchronous Motors

Abstract

This paper proposes a tuning technique of proportional-integral (PI) parameters using genetic algorithm (GA) to improve the performance of the speed control system of permanent magnet synchronous motor (PMSM). PI controller is the most common control method used in both industrial and special applications. The adjustment of the optimal values of PI controller is an important issue for the performance of PMSM. GA based PI controller and the effects of tuning a closed loop control system are discussed in this paper. The aim of this study is to compare the conventional PI parameter tuning method with GA optimization tuning method in terms of time to determine the optimal value. The simulation results show that GA based PI (GA-PI) method provides better performance than conventional methods.