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2. Nonlinear piezo-actuator control by learning self-tuning regulator

Author

Li, C. James, Beigi, Homayoon S.M., Shengyi Li, and Jiancheng Liang

Subjects
Self-tuning controllers -- Usage, Piezoelectric devices -- Research, Actuators -- Research, Control equipment -- Research, Engineering and manufacturing industries, Science and technology
Abstract

This paper presents a learning self-tuning (LSTR) regulator which improves the tracking performance of itself while performing repetitive tasks. The controller is a self-tuning regulator based on learning parameter estimation. Experimentally, the controller was used to control the movement of a nonlinear piezoelectric actuator which is a part of the tool positioning system for a diamond turning lathe. Experimental results show that the controller is able to reduce the tracking error through the repetition of the task.

Published
1993

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