文章基本信息

标题：Robust Tracking Control for Robotic Manipulator via Fuzzy Logic System and Approaches
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作者：Kun Mu ; Cong Liu ; Jinzhu Peng 等
期刊名称：Journal of Control Science and Engineering
印刷版ISSN：1687-5249
电子版ISSN：1687-5257
出版年度：2015
卷号：2015
DOI：10.1155/2015/459431
出版社：Hindawi Publishing Corporation
摘要：Based on fuzzy logic system (FLS) and control methodologies, a robust tracking control scheme is proposed for robotic system with uncertainties and external disturbances. FLS is employed to implement the framework of computed torque control (CTC) method via its approximate capability which is used to attenuate the nonlinearity of robotic manipulator. The robust control can guarantee robustness to parametric and dynamics uncertainties and also attenuate the effect of immeasurable external disturbances entering the system. Moreover, a quadratic stability approach is used to reduce the conservatism of the conventional robust control approach. It can be guaranteed that all signals in the closed-loop are bounded by employing the proposed robust tracking control. The validity of the proposed control scheme is shown by simulation of a two-link robotic manipulator.