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Disturbance Compensation Control by FXLMS Algorithm  

강민식 (경원대학교 기계공학과)
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Abstract
This paper represents a disturbance compensation control for attenuating disturbance responses. In the consideration of the requirements on the model accuracy in the model based compensator designs, an experimental feed forward compensator design based on adaptive estimation by Filtered-x least mean square (FXLMS) algorithm is proposed. The convergence properties of the FXLMS algorithm are discussed and its conditions for the asymptotic convergence are derived theoretically. The effectiveness of the proposed method and the theoretical proof are verified by computer simulation.
Keywords
Disturbance compensation control; Filtered-x least-mean-square algorithm; Parameter convergence; Positive real function;
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Times Cited By KSCI : 2  (Citation Analysis)
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