Active disturbance-rejection control of voice coil motor based on RBF neural network

Voice coil motor (VCM) is one of the linear electric machine which has faster transient response, higher accuracy. It is widely used in the field of high performance direct drive servo valve. The mathematic model of voice coil motor was analyzed and the position control system of direct driver valve that based on voice coil motor was designed. Against the disturbance in the system, a new position control strategy that RBF neural network composed with PID controller w as put forward, it inherits the excellent dynamic characteristics of NN technique and the high speed stability of PID at the same time, it can also realize the online update. The emulated results prove the control strategy is very meaningful t o improve the system performance, and can obtain better result and robustness.