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Research of Adaptive Fuzzy Sliding Mode Control for Motor Servo System

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Referring to the conventional sliding mode control (SMC) method using upper bound on uncertainties, the bad estimation of the upper bound affects the tracking precision and gliding property of control input in motor servo system. An adaptive fuzzy sliding mode controller (AFSMC) is proposed to solve the problem. It utilizes a fuzzy estimator (FE), which exports the estimation of upper bound on uncertainties in accordance with the current information of tracking error and control input. The computer simulations on a dc motor present that the proposed method realizes satisfactory tracking precision, and the chattering at control input is suppressed distinctly. Moreover, the proposed scheme also possesses better robustness against uncertainties.
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Document Type: Research Article

Publication date: March 1, 2012

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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