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

Yan, Xing-Gang and 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 . (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)

The full text of this publication is not available from this repository. (Contact us about this Publication)
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
Subjects: T Technology > TJ Mechanical engineering and machinery > Control engineering
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: J. Harries
Date Deposited: 20 Apr 2009 14:43
Last Modified: 04 Jul 2014 08:38
Resource URI: https://kar.kent.ac.uk/id/eprint/15798 (The current URI for this page, for reference purposes)
  • Depositors only (login required):