Synchronized Control of Dual Linear Motors Position Servo System Based on Fuzzy Self-Learning Compensation

This paper introduces the position synchronized control strategy that meets position tracking performance and the closed loop robustness to external disturbance in dual linear motors servo system. In order to achieve the desired dynamic synchronized performance for dual position servo axes in machining, the same position feedback controller is used to single linear motor position servo axis independently, and an electrical cross-coupled control algorithms based on fuzzy self-learning are applied to dual linear motor position servo system. The simulation results show that proposed method is effective on improving synchronized performance.