A Novel Fuzzy PID Control Algorithm of BLDC Motor

Abstract

Brushless DC motors (BLDC) have many advantages, such as simple structure and high reliability, and are now widely used in various fields. However, the nonlinear characteristics of the BLDC motor make it difficult for the traditional PID controller to meet the requirements of the motor control system. In this paper, a fuzzy PID-based control method is proposed to optimize the conventional PID control by intelligent fine-tuning of the control parameters. To verify the effectiveness of the proposed method, simulation experiments are carried out under various operating conditions using MATLAB/Simulink. The results of the simulations show a significant improvement in the control performance, with a reduction in the final rise time $\left( {{\text{t}}_{{\text{r}}} } \right)$ by approximately 0.002 S, a significant reduction in the peak time $\left( {{\text{t}}_{{\text{p}}} } \right)$, and the current can be smoothed out much faster. The results show that the motor control system designed in this paper has good responsiveness and robustness and high application value.