Tracking control of coordinate motion for multi-motors of a printing device by fuzzy neural network

This paper presents an intelligent hybrid fuzzy neural network controller to solve the conflicting problem between tracking speed and overshoots of a motor by the BP algorithm. We also give the structure and principles of a controller. Because the controller has both advantages of fuzzy control and that of neural network control, it can improve adaptability, controlling accuracy, speed, and robustness of the control system. It also can eliminate overshoots. Simulating results demonstrate that both the controller and the algorithm are effective and reach the predictable requirements.