Research on speed control algorithm of stepper motor with fuzzy PID optimization based on genetic algorithm

In order to achieve more accurate control of the stepper motor speed, a control method based on the fuzzy PID parameters optimised by genetic algorithm is proposed. The dynamic mathematical model of stepper motor is built, the fuzzy control theory is combined with PID, the PID control parameters are adjusted in real time, and the genetic algorithm is used to optimise the fuzzy PID's affiliation function and the rule base, to reduce the subjectivity and blindness of the fuzzy rules, to establish the GA-fuzzy PID controller, and to carry out comparative simulation experiments by using the Matlab/Simulink software. The results show that the fuzzy PID optimised based on genetic algorithm is superior to the fuzzy PID control and traditional PID control in terms of control effect, with faster response time, smaller overshooting and shorter regulation time. which improves the motor sneed control accuracy.