Improved PID controller based on particle swarm optimization algorithm in electric drive system

Abstract

The PID controller is widely used and considered a fundamental component in industrial drive systems, playing a crucial role in regulating the motor's dynamic response. Therefore, this study focuses on enhancing the performance of PID controller parameters using the Particle Swarm Optimization (PSO) algorithm. In addition, scalar control is adopted to establish a control scheme integrated with the dynamic model of a threephase induction motor for performance evaluation and analysis. Simulation results obtained from MATLAB/Simulink demonstrate that the proposed PSO-PID controller achieves ITAE indices of 78.556 and 12.514, which are lower than those of the conventional PID controller (98.63 and 13.32) for simulation cases 1 and 2, respectively. Furthermore, quantitative performance metrics, including overshoot, steady-state error, and settling time, indicate that the PSO-PID controller provides superior dynamic performance compared with the traditional PID controller.