Title :
Precision control of piezoelectric actuator using inverse hysteresis model and neuro control
Author :
Lee, Byung-Ryong ; Yang, Soon-Yong ; Ahn, Kyung-Kwan
Author_Institution :
Sch. of Mechanical & Automotive Eng., Ulsan Univ., South Korea
Abstract :
In this paper, in order to improve the control performance of piezoelectric actuator, an integrated control structure is proposed. The control structure consists of inverse hysteresis model, to compensate the hysteresis nonlinearity problem, and feedforward-feedback controller to give a good tracking performance. The inverse hysteresis model and neural network are used as feedforward controller, and PID controller is used as a feedback controller. From diverse experiments it is concluded that the proposed control scheme gives good tracking performance than the classical control does.
Keywords :
feedback; feedforward; hysteresis; neurocontrollers; piezoelectric actuators; precision engineering; three-term control; PID controller; feedback controller; feedforward controller; hysteresis nonlinearity problem; integrated control structure; inverse hysteresis model; neural network; neuro control; piezoelectric actuator; precision control;
Conference_Titel :
Science and Technology, 2003. Proceedings KORUS 2003. The 7th Korea-Russia International Symposium on
Print_ISBN :
89-7868-617-6