Hysteresis Compensation of MSMA Actuators Based on Neural Network Model

In the Precision control industry, Due to a strong hysteresis characteristics of MSMA actuators between input and output , the positioning accuracy of the drive have been affected seriously, and its wider application limited.In order to improve the positioning accuracy of MSMA actuators, to eliminate or reduce the hysteresis characteristic,in this paper ,hysteresis compensation for MSMA actuators is proposed ,three methods like traditional PID feedback ,and feed-forward compensation ,and composite control with PID and feed-forward compensation ,these three methods are compared . results show that the composite control has better control performance,the MSMA actuators control accuracy kept in 0.8% range.