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Precision Position Control of Piezoelectric Actuator Using Feedforward Hysteresis Compensation and Neural Network  

Kim HyoungSeog (울산대학교 기계자동차공학과 대학원)
Lee Soo Hee (울산대학교 기계자동차공학과 대학원)
Ahn KyungKwan (울산대학교 기계자동차 공학부)
Lee ByungRyong (울산대학교 기계자동차공학부)
Publication Information
Journal of the Korean Society for Precision Engineering / v.22, no.7, 2005 , pp. 94-101 More about this Journal
Abstract
This work proposes a new method for describing the hysteresis non-linearity of a piezoelectric actuator. The hysteresis behaviour of piezoelectric actuators, including the minor loop trajectory, are modeled by geometrical relationship between a reference major loop and its minor loops. This hysteresis model is transformed into inverse hysteresis model in order to output compensated voltage with regard to the given input displacement. A feedforward neural network, which is trained by a feedback PID control module, is incorporated to the inverse hysteresis model to compensate unknown dynamics of the piezoelectric system. To show the feasibility of the proposed feedforward-feedback controller, some experiments have been carried out and the tracking performance was compared to that of simple PTD controller.
Keywords
piezoelectric actuator; hyseresis; nonlinearty; feedforward; inverse hysteresis-modeling; neural network;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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