In this paper, a control method combining the feedforward and feedback controllers is proposed to precisely control the dynamic performance of the piezoceramic actuator (PA). In the feedforward controller design, the hysteresis nonlinearity of the PA is modeled by using Preisach model first. Then a database of switching input/output values and a neural networks architecture treated as the inverse function of Preisach model are utilized in the feedforward controller. In the feedback controller design, a PI controller is used to regulate the output error. Finally, some experimental results are validated the excellent tracking performances of the proposed controller.

Issue Section:
Technical Briefs
Keywords:
controllers, feedforward neural nets, piezoelectric actuators, piezoceramics, feedback, tracking, precision engineering, PI control, hysteresis
Topics:
Actuators, Artificial neural networks, Control equipment, Feedforward control, Piezoelectric ceramics, Feedback, Design
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Copyright © 2004
 by ASME
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