A Fast Realization Method of Fuzzy PID Control for DC Motor

DC motor is widely used in various fields for its good starting and speed regulating characteristics. In many cases, it is necessary to control the speed of the motor accurately. Although the conventional PID control algorithm can solve most of the control problems, the conventional PID control algorithm also has many defects, for example, parameters cannot adapt to the change of the model. The fuzzy control does not rely on the mathematical model of the control system, and simulates the control experience of human control, which has high robustness. In this paper, the fuzzy control is combined with the conventional PID control to control the speed of the DC motor. PID parameters are adaptively obtained by fuzzy control rules. The control system model is set up in Simulink, and the control algorithm is deployed on the hardware platform through the automatic code generation. Through the hardware-in-the-loop (HIL) experiment, the algorithm is quickly verified.