Position tracking and compensation control of magnetostrictive actuator

Based on the Jiles-Atherton hysteresis and dynamic model,the actuator linearity is improved by optimizing the paranoid magnetic field and the preload to improve the control precision of magnetostrictive actuator.And the feedforward compensation PID and flexible neural network feedforward compensation PID control strategies are proposed on the basis of the feedforward control,PID feedback control and flexible neural network theory.Then,the actuator position tracking and compensation control are researched with the bias sine and step as commanding signal.The simulation results show that compared with traditional PID control and feedforward compensation PID control,the flexible neural network feedforward compensation PID controller is good in tracking performance and anti-disturbance capability and that it is characterized by non-vibration,non-overshoot and fast response.