Research on brushless DC motor control system based on Fuzzy Adaptive PID control

Abstract

Conventional PID control is often difficult to achieve ideal control effect when the actual object is nonlinear, time-varying uncertainty and strong interference. In order to make brushless DC motor have faster response speed and higher anti-interference performance, a fuzzy adaptive PID control speed and current double closed-loop system is proposed. The simulation model of BLDCM is built in Simulink and the dynamic simulation is carried out. The simulation results show that the fuzzy adaptive PID control of Brushless DC motor has better robustness, response speed and anti-interference ability than the conventional PID control.