Simulation and Design of Integral Separation Adaptive Fuzzy Control System for Brushless DC Motor

摘要

As the classical PID can not adapt to the dynamic characteristics of the brushless DC motor, integral separation fuzzy control combined with classical PI is put forward to build up brushless DC motor speed current double closed-loop control system. Among them, the speed outer loop uses integral separation fuzzy PI control; the current inner loop uses integral separation PI control. With the core of LPC1769 microprocessor, the hardware system is designed, in which the integral separation double closed-loop fuzzy control software is achieved. Simulation and practical test show that integral separation fuzzy control strategy has fast response, small overshoot, and strong ability of anti-disturbance, which is more suitable for dynamic control of brushless DC motor.