Control system of brushless DC motor based on neuron PID

ZHAO Peng-fei, YU Jian-ding, LUO Guo-qing

(Information science and engineering institute of NingBo University, NingBo 315211, China)

Abstract: Aiming at servo control of highperformance permanent magnet brushless motor, the physical structure, the mathematical model and the principle of permanent magnet brushless motor were researched. After the introductions of the principle of traditional PID controller and the control system of permanent magnet brushless motor, the defects of brushless motor control system based on traditional PID controller were analyzed and summarized, an intelligent control strategy of permanent magnet brushless motor based on Neuron PID was proposed. Firstly, the characteristics of Neuron PID controller were expounded. Then the algorithm of the Neuron PID control system was designed and implemented, the Neuron PID controller was used in control of speed loop of permanent magnet brushless, utilizing the selflearning ability of Neuron PID, control parameters can be trained and adjusted in real time. At last, simulation of permanent magnet brushless motor control system based on traditional PID and Neuron PID were given with Simulink, both the results of simulation were compared. The results indicate that the system can improve the response of speed and the rotational stability of brushless motor.

Key words: brushless DC; servo control; neuron PID; adaptive