Adaptive Control for Hysteresis Motor Driving Servo System with Preisach Model

An adaptive controller is proposed for hysteresis motor driving servo system with high order neural net-work(HONN) estimates the unknown hysteresis Preisach model. Firstly, in order to make the proposed approach has more general, the hysteresis motor driving servo system is transformed into states space form. Afterwards, the tracking error is represented as a scalar error that can simplify the controller design. Finally, a new HONN is designed to estimate the unknown hysteresis and the Lyapunov function guarantees the stability of the closed-loop system. Simulations on the servo system demonstrate the effectiveness of the proposed approaches.