Using Emperor and Particle Swarm Optimization Algorithm to Optimize Induction Motor Control System

Abstract:In this paper, the simulation and optimization of induction motor through its controlling and modeling by convert d-q with Simulink of Matlab Software has been developed. By utilization of classic PI controller and also with phase controller has been optimized which membership function center of it has been optimized by new intelligent algorithms such as Emperor and Particle Swarm Optimization (PSO). The obtained results show that obtaining phase points by new intelligent controllers such as Emperor and PSO ones have better results than classic PID and fuzzy controllers. In fact the experimental results show that the error of Emperor Algorithm is lower than PSO. Thus the emperor algorithm optimizes membership function centers of phase controllers better than PSO one.