Simulation and Analysis of PMSM Speed Control Employing a Hybrid ANN-PID Approach

Abstract

This paper presents a simulation study and performance evaluation of a speed control system for a Permanent Magnet Synchronous Motor (PMSM) using a hybrid Artificial Neural Network (ANN) and Proportional-Integral-Derivative (PID) controller.  The proposed hybrid ANN-PID controller in this paper is intended to provide enhanced dynamic response, reduce steady-state error, and increase disturbance rejection under changing load conditions. The control system designed is simulated and tested in the MATLAB/Simulink environment, comparing and contrasting the motor speed tracking performance, torque response, and current dynamics. Simulation results confirm that the hybrid controller performs better than the conventional PID controller in terms of speed regulation precision, response speed, and mechanical load disturbances tolerance. The study suggests that the combination of ANN and PID control is a very good approach to PMSM speed regulation, which proves to be reliable and effective for engineering practice.