Application of PSO and Bacterial Foraging Optimization to Speed Control PMSM Servo Systems

This paper represents a new method optimal parameters PID based on nature inspired optimization algorithms application speed control of phases Permanent Magnet Synchronous Motors (PMSM). The methods for speed control stabilization of the PMSM using the Adaptive Particle Swarm Optimization controllers (APSO) and Hybrid Bacterial Foraging Particle Swarm Optimization controllers (BFPSO). The response results of the speed control PMSM Servo Systems used APSO and BGPSO methods are compared and the conclusions are given by simulation.