非线性系统
级联
控制理论(社会学)
观察员(物理)
国家观察员
趋同(经济学)
数学
工程类
控制工程
计算机科学
控制(管理)
人工智能
物理
量子力学
经济增长
经济
化学工程
作者
Maopeng Ran,Juncheng Li,Lihua Xie
出处
期刊:Automatica
[Elsevier]
日期:2021-07-05
卷期号:131: 109772-109772
被引量:123
标识
DOI:10.1016/j.automatica.2021.109772
摘要
Extended state observer (ESO) is a class of high-gain observers and a powerful tool for output feedback control of uncertain nonlinear systems. In this paper, we propose a new ESO design technique which is based on cascading a series of first-order ESOs. Benefited from the cascade design, saturations can be inserted into the observer internal variables to limit the maximal implemented gain. The convergence of the new ESO with a class of nonlinear gain functions is established, and it is shown that adopting appropriate nonlinear gain mechanisms leads to improvement in measurement noise tolerance. What is more, the new ESO based output feedback control has stronger uncertainty estimation and compensation capability than the standard ESO based output feedback control. Specifically, the proposed approach only relies on the knowledge of the control direction of the uncertain nonlinear system. Finally, the obtained results are applied to suppress the wing rock motion of a slender delta wing.
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