Intelligent Control for Permanent Magnet Synchronous Motor with Improved Particle Swarm Optimization

Abstract:- This paper presents a new intelligent controller for a permanent-magnet synchronous machine in a HEV (hybrid-electric vehicle) application. IPSO (Improved Particle Swarm Optimization) will be used to optimize three proportional parameters 、 、 of FLC (Fuzzy Logical Controller) online increasing the robustness of overall system. Finally, the overall system will be simulated under various operating conditions. The use of IPSO as an optimization algorithm makes the drive robust, with faster dynamic response, higher accuracy and intensitive to load variation. The system is tested using a step change signal of load. The simulation results show good dynamic respnse with fast recovery time ak bk u