Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/25539

Deadzone Compensation in Motion Control Systems Using Adaptive Fuzzy Logic Control

Authors Woo, Kam Tim View this author's profile
Lewis, Frank L.T.
Wang, Lixin HKUST affiliated (currently or previously)
Li, Zexiang View this author's profile
Issue Date 1997, 1999
Source Proceedings - IEEE International Conference on Robotics and Automation , v. 2, 1997, p. 1424-1429
Summary A deadzone compensator is designed for industrial positioning systems using a fuzzy logic (FL) controller. The FL approach is shown to subsume other approaches that use switching or indicator functions, The classification property of FL systems makes them a natural candidate for the rejection of errors induced by the deadzone, which has regions in which it behaves differently. A tuning algorithm is given for the FL parameters, so that the deadzone compensation scheme becomes adaptive, guaranteeing small tracking errors and bounded parameter estimates. Formal nonlinear stability proofs are given to show that the tracking error is small. The adaptive FL deadzone compensator is implemented on an actual industrial CNC machine tool to show its efficacy.
Subjects
ISSN 1063-6536
ISBN 0780336135
Language English
Format Article
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