The simulation of BLDC motor speed control based optimized fuzzy PID algorithm
Fuzzy control and PID control are often used in control area. In recent years, a brushless DC motor (BLDCM) because of their good performance and low maintenance costs are more widely applied. Along with its control program is also rapid development. However, a single Fuzzy control or PID control can not satisfy the need of the rising complexity and precision of control systems. In this paper, with brushless DC motor (BLDCM) proposed a model based on PID speed control scheme, the use of brushless DC motor voltage equation and torque and speed equation adjust the PID parameters to achieve speed control. With the principle of fuzzy PID parameters, according to the changes in motor parameters PID parameters adjusted online, has made high precision speed control. The simulation and experimental results show that the method of control of fuzzy PID for controlling a brushless DC motor, can achieve fast response, no overshoot, high control precision; and the system parameters and interference is high robust, as well dynamic and static performance are superior to the traditional PID control and only fuzzy control.
2016 IEEE International Conference on Mechatronics and Automation