Control of Brushless DC Motor Using Fuzzy Set Based Immune Feedback PID Controller

Brushless DC motors (BLDCM) are reliable, easy control, and inexpensive. But, the brushless DC motor is a multi-variable and nonlinear system. Conventional PID controllers suffer from uncertain parameters and the nonlinear of the BLDCM. This paper presents an novel approach of immune feedback PID control for BLDCM based on fuzzy set. The method is inspired by biological immune feedback mechanism functioned by T-cells, including an active term, which controls response speed, and an inhibitive term, which controls stabilization effect, and we employ a fuzzy logic to implement the inhibitive term. The system includes current and velocity closed loops. The simulation illustrates that excellent flexibility and adaptability as well as high precision and good robustness are obtained by the proposed strategy.