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http://dx.doi.org/10.5391/JKIIS.2011.21.4.449

Design of a Time-delay Compensator Using Neural Network In a Tele-operation System  

Choi, Ho-Jin (LIG 넥스원 연구원)
Jung, Seul (충남대학교 메카트로닉스공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.21, no.4, 2011 , pp. 449-455 More about this Journal
Abstract
In this paper, a time-delay problem of a tele-operated control system is investigated and compensated by neural network. The smith predictor requires an exact system model to deal with a time-delay in the system. To compensate for modeling errors in the configuration of the Smith predictor, a neural network approach is presented. Based on forming the Smith predictor structure, the radial basis function(RBF) neural network estimator is used. Simulation and experimental studies are conducted to show the functionality of the proposed method.
Keywords
time delay compensation; neural network estimator; force-position control;
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