文章基本信息

标题：Sliding Mode Tracking Control for Nonlinear Sampled-Data Systems with Unmatched Perturbation ⁎
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作者：Cristian C. Zapata-Zuluaga ; Alexander G. Loukianov ; Victor A. Utkin 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：4887-4892
DOI：10.1016/j.ifacol.2020.12.1059
语种：English
出版社：Elsevier
摘要：AbstractThe output tracking problem for a class of sampled-data nonlinear systems exposed in Nonlinear Block Controllable (NBC) form is faced. This paper considers both matched and unmatched perturbations. To formulate a desired sliding manifold on which the impact of unmatched perturbation is attenuated, the Block Control technique combined with the perturbation estimation, is implemented. A discrete-time sliding mode non-switching controller is synthesized such that the system state is driven toward a vicinity of the designed sliding manifold and stays there for all sampled time instants, avoiding chattering and reducing the matched perturbation effect. The effectiveness of the proposed technique is confirmed by simulation.
关键词：KeywordsRobust controlrobust controller synthesissliding mode controldisturbance rejectionnonlinear systemsnonlinear control