Improved performance of permanent magnet synchronous motor by using particle swarm optimization techniques

This paper presents a modern approach of speed control for PMSM using particle swarm optimization (PSO) algorithm to optimize the parameters of the PI-controller. The overall system simulated under various operating conditions and an experimental setup is prepared. The use of PSO as an optimization algorithm makes the drive robust, with faster dynamic response, higher accuracy and insensitive to load variation. Comparison between different controllers is achieved, using PI controller which is tuned by two methods, firstly manually and secondly using PSO technique. The system is tested under variable operating conditions. The simulation results showing good dynamic response with fast recovery time and good agreement with experimental one.