文章基本信息

标题：Terminal Sliding Mode Controller Tuned Using Evolutionary Algorithms for Finite-Time Robust Tracking Control in a Class of Nonholonomic Systems
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作者：Behrooz Rezaie ; Hossein Ghasemi ; Zahra Rahmani 等
期刊名称：Public Policy And Administration
印刷版ISSN：2029-2872
出版年度：2018
卷号：47
期号：1
页码：26-44
DOI：10.5755/j01.itc.47.1.15031
语种：English
出版社：Kaunas University of Technology
摘要：This paper deals with utilizing a recursive singularity-free fast terminal sliding mode control method for finite-time robust tracking control in a class of nonholonomic systems described by an extended chained form. To enhance the performance of the proposed method, the constrained parameters in the controller are exactly tuned using evolutionary algorithms such that the tracking error reaches zero in a short time and without chattering. A comparative study is also presented among the applied evolutionary algorithms namely differential evolution, bat optimization, cuckoo optimization and bacterial foraging optimization. Applying the proposed design method leads to a considerable reduction in convergence time of the states as well as the chattering phenomenon. It is shown that the method is robust against disturbance in the input of the system. Numerical simulations for a well-known nonholonomic system, i.e., wheeled mobile robot demonstrate effective improvement in the results compared with conventional terminal sliding mode control method.
关键词：Nonholonomic systems;Terminal sliding mode control;Finite-time tracking;Evolutionary algorithms;Chained form