文章基本信息

标题：Selection of the estimation model for robust observer-based controller against plant uncertainties
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作者：Kana Shikada ; Noboru Sebe ; Masayuki Sato 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：25
页码：193-198
DOI：10.1016/j.ifacol.2022.09.346
语种：English
出版社：Elsevier
摘要：AbstractThis paper is concerned with the design of robust controllers with observers. In general, the nominal model is selected as the state-space model for the observer to estimate the states even if the plant has uncertainties. However, the properness of this strategy is ambiguous. This paper evaluates the properness of selecting the nominal model for state estimation of the plant with uncertainties. Sato (2018a) proposed a new type of controller so-called observer-structured controller. The controller introduces additional freedom for selecting the state-space model used for the state estimation. With this type of controller, this paper demonstrates that the adequate selection of estimation model improves the closed-loop control performance through numerical examples.
关键词：KeywordsRobust estimationObservers for linear systemsRobust control