Performance Analysis of Permanent Magnet Synchronous Motor Drive using Particle Swarm Optimization Technique

Permanent magnet synchronous motor (PMSM), a nonlinear speed controller design based on Particle Swarm Optimization (PSO) technique is presented in this paper. For tuning the PID controller, the speed control for PMSM was analysed using PSO algorithm to optimize the parameters in terms of proportional gain (K-p), integral gain (K-i), and derivative gain (K-d). Moreover, the overallsystem is evaluated under various operating conditions such as starting, braking, load application and load removal. Besides this, comparison between speed control of PMSM using Ziegler-Nichols method and speed control of PMSM with PSO technique has been carried out. These analyses are estimated in terms of dynamic, static response and total harmonic distortion (THD). The transient response are examined in terms of settling time(t(s)), risetime(t(r)), peak time (t(p)), and peak overshoot (M-p). Overall, PID speed controller with PSO technique shows that the proposed method has improved the performance under the various operating conditions.