Application of GA in motor transfer function

Due to the inherent shortcomings of traditional PID control, such as manual adjustment of PID parameters and slow response speed, it is precisely because of these problems that the motor PID control cannot achieve the desired effect. A motor PID control algorithm based on GA optimization algorithm is proposed to address the inherent problems of traditional PID control. Establish GA optimized PID control simulation and fuzzy control PID simulation on the platform, compare the step response curves obtained by the two, and explain the differences between the two and traditional PID control, as well as the shortcomings of traditional PID control that have been improved.