Fan speed regulation is crucial to the safe operation of mines, and traditional PID control is less stable under dynamic disturbances. With the development of industrial control technology, fuzzy logic and fractional-order PID are combined to form a new control strategy, which can deal with system nonlinearity and uncertainty. In this study, we first established a mathematical model of fan speed control, analyzed the characteristics of fuzzy set and affiliation function, and designed a fuzzy rule-based fractional-order PID controller to adaptively adjust the control parameters Kp, Ki, Kd, λ and μ. The control system performance was verified by Simulink and Fluent software simulation tests. The results show that compared with the traditional PID controller, the fuzzy fractional-order PID controller reduces the time for the wind turbine speed to reach the steady state by 30s, and the amount of overshooting decreases by about 15%. In the anti-interference performance test, the fuzzy fractional-order PID controller can restore the steady state faster when the system adds a 5% set value interference signal. The system stabilization time is shortened from 37.03s for the conventional PID to 6.97s for the fuzzy fractional-order PID, and the overshoot is only 0.01%. This study proves that the fuzzy fractional-order PID control strategy has good dynamic performance and adaptive ability in fan speed control, which provides a new solution for industrial control system.
