基于模型的线性时变系统鲁棒内部控制

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Robust and Nonlinear Control Pub Date : 2024-09-17 DOI:10.1002/rnc.7643
Atabak Azimi, Stefan Koch, Markus Reichhartinger
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引用次数: 0

摘要

本文论述了受不确定外部系统产生的干扰以及匹配外部干扰影响的系统的稳健输出调节。反馈回路的鲁棒性是通过将基于内部模型的控制与滑模控制相结合来实现的,从而产生了一个结构简单的控制器。提出的控制器设计首先针对的是全信息问题,即外系统产生的干扰和状态信息可供控制算法使用。控制器设计的第二步放宽了这一要求,开发了基于观测器的鲁棒输出反馈回路结构。本文介绍了一项比较模拟研究的结果,以说明所提出的控制器概念的优势和有效性。
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Robust internal model‐based control for linear‐time‐invariant systems
This article addresses robust output regulation for systems affected by disturbances generated by an uncertain exosystem as well as matched external disturbances. The robustness of the feedback loop is achieved by combining internal model based control with sliding mode control, resulting in a structurally simple controller. The design of the proposed controller is presented first for the full information problem, that is, the disturbances generated by the exosystem and the state‐information is available for the control algorithm. This requirement is relaxed in the second step of the controller design, where the observer‐based robust output feedback‐loop structure is developed. Results from a comparative simulation study are presented to illustrate the advantages and the effectiveness of the proposed controller concept.
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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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