Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/9757
Title: Robust decentralized actuator fault detection and estimation for large-scale systems using a sliding mode observer
Authors: Yan, Xing-Gang
Edwards, Christopher
First Published: 1-Apr-2008
Publisher: Taylor & Francis
Citation: International Journal of Control, 2008, 81 (4), pp. 591-606.
Abstract: In this paper, robust decentralized actuator fault detection and estimation is considered for a class of non-linear large-scale systems. A sliding mode observer is proposed together with an appropriate coordinate transformation to find the sliding mode dynamics. Then, based on the features of the observer, a decentralized fault estimation strategy is proposed using an equivalent output error injection, and a decentralized reconstruction scheme follows by further exploiting the structure of the uncertainty which is allowed to have non-linear bounds. The estimation and reconstruction signals only depend on the available measured information and thus the proposed strategy can work on-line. The theoretical results which have been obtained are applied to an automated highway system. Simulation shows the feasibility and effectiveness of the proposed scheme.
DOI Link: 10.1080/00207170701536056
ISSN: 0020-7179
eISSN: 1366-5820
Links: http://www.tandfonline.com/doi/abs/10.1080/00207170701536056
http://hdl.handle.net/2381/9757
Type: Article
Rights: © 2008 Taylor & Francis.
Description: Metadata only entry
Appears in Collections:Published Articles, Dept. of Engineering

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