Introduction - If you have any usage issues, please Google them yourself
Traditional PID controller parameters fixed in the control effect caused by the problem of poor design method based on fuzzy RBF Neural Network Intelligence PID controller. The method combines strong reasoning ability of fuzzy control and neural network learning ability of the characteristics of the RBF neural network and fuzzy control are combined to adjust the PID controller parameters online, fix the whole set is adapted to control the object kp, ki, kd parameter. The algorithm is applied to the motor control system PID parameter optimization, the simulation results show that the algorithm based on the design of PID controller to improve the dynamic performance and stability of the motor control system.