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

摘要

Voice coil motor (VCM) is one of the linear electic machine which has faster transient response, higher accuracy. It is widely used in the field of high performance direct drive servo valve. The mathematic mo del of voice coil mot or was analyzed and the position control system of direct driver valve that based o n 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 r esult and robustness.