Design and simulation of fuzzy PI adaptive speed system for brushless DC motor

Brushless DC motor is widely used in industrial control because of its good mechanical characteristics, large starting torque and excellent control performance. In this paper, the powerful adaptability of fuzzy PI to nonlinear system is proposed for the speed regulation design of double-closed-loop brushless DC motor. Through the fuzzy system online PI value, the output of the speed regulation system is greatly improved compared with the PI system. After the simulation test, the system has good dynamic performance when using the fuzzy PI control algorithm, which is more superior and effective than the traditional PI control.