Design of Particle Swarm Optimization-Based PID Controller for High-Performance PMSM Speed Control

Abstract

The present study shares an appropriate technique for regulating the speed of a Permanent Magnet Synchronous Motor (PMSM) drive system using a PID controller. This approach maintains the main architecture of the PID controller while significantly improving its performance compared to previous controllers. The resulting controller offers great resilience to changes in PMMS settings, fast and precise responses, and necessary noise rejection. Testing revealed that for accuracy, parametric variation, and load torque disturbances the suggested system performs best with proportional gain of 0.0029, integral gain of 0.65, and derivative gain of 0.0012.

Moreover, we utilized Particle Swarm Optimization (PSO) to improve the parameters of the PID controller, leading to significant performance improvements under various scenarios. The proposed method offers simplicity and ease of real-time implementation while providing stability and outstanding efficacy in achieving optimal performance.