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Fuzzy proportional integral differential control of brushless motor

Brushless DC motor (BLDCM) is characterised by time-varying, non-linear, strong coupling and many variables, and have been extensively studied in the area of motor control. The traditional PID control method as a regulator is not ideal to achieve the desired speed system control effect. Therefore a fuzzy PID controller is designed to implement. The working principle and mathematical model of brushless DC motor (BLDCM) is briefly analyzed, and a simulation model of the brushless DC motor control system is built in the Simulink module of MATLAB software. Speed closed-loop speed regulation is realized by fuzzy PID control, while the fuzzy PID control is used to achieve the speed closed-loop speed regulation, and a double closed-loop speed control system model of the BLDCM is built. Finally, through the analysis of the simulation results, the fuzzy PID control BLDCM drive system has faster dynamic response and stronger anti-interference ability compared with the traditional PID control.