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Robust Decentralised Actuator Fault Detection and Estimation for Large-Scale Systems using a Sliding Mode Observer

Yan, Xinggang, Edwards, Christopher (2008) Robust Decentralised Actuator Fault Detection and Estimation for Large-Scale Systems using a Sliding Mode Observer. International Journal of Control, 81 (4). pp. 591-606. ISSN 0020-7179. (doi:10.1080/00207170701536056) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:15798)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1080/00207170701536056

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.

Item Type: Article
DOI/Identification number: 10.1080/00207170701536056
Subjects: T Technology > TJ Mechanical engineering and machinery > Control engineering
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: J. Harries
Date Deposited: 20 Apr 2009 14:43 UTC
Last Modified: 16 Nov 2021 09:53 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/15798 (The current URI for this page, for reference purposes)

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