Intelligent fuzzy controller using particle swarm optimization for control of permanent magnet synchronous motor for electric vehicle

Electric vehicle (EV) is a dream for the human being city traffic without exhausting gas and with low noise. Permanent magnet synchronous motor (PMSM) became at the top of ac motors in high performance drive systems such as EV. This paper presents a modern approach of speed control for PMSM using particle swarm optimization (PSO) algorithm to optimize the scaling factors of fuzzy logic controller (FLC). The overall system is simulated under various operating conditions. The use of PSO as an optimization algorithm makes the drive robust, with faster dynamic response, higher accuracy and insensitive to load variation. The system is tested for a step change in load, the simulation results showing good dynamic response with fast recovery time.