Design of BPNN speed PI controller based on GA

Following the performance and disturbance rejection performance of motor is directly related to the application of DC speed control system in DC motor control. DC speed control system uses regular speed, current double closed-loop speed control, the inner ring and the outer ring generally use PI regulator. However, the rotational speed will produce inevitably overshoot and disturbance rejection performance is not good in double-loop speed control system. This paper describes design method of a BP neural network speed PI controller based on genetic algorithm, which eliminate the DC speed control system rotational speed of the overshoot, and improve the system dynamic performance, and use Matlab simulation software to verify its advantages.