Optimization of PI Parameters for Speed Controller of a Permanent Magnet Synchronous Motor by using Particle Swarm Optimization Technique.

This paper proposes the optimization of the PI gain used in the speed control of permanent magnet synchronous motor (PMSM). The optimization technique used in this project is Particle Swarm Optimization (PSO). In this project, field oriented control (FOC) is used to control the speed of the PMSM. The PSO is used to find the finest gain of the speed-PI so that the speed error will be minimized and it is designed to achieve the specific objective function. In this paper, the objective is to reduce the steady state error of the system drive. By randomly initialize, these particles fly through the search space dimension to evaluate and updating their positions and velocity. As updating the position and velocity, the personal and global best value also keep updating until it finds better fitness and achieve the optimal value. The simulation results proved that the proposed technique can reduce the speed error close to zero and get the better result compared to the heuristic method. [ABSTRACT FROM AUTHOR]