Nonlinear robust fault reconstruction and estimation using a sliding mode observer

Yan, Xinggang, Edwards, Christopher (2007) Nonlinear robust fault reconstruction and estimation using a sliding mode observer. Automatica, 43 (9). pp. 1605-1614. ISSN 0005-1098. (doi:10.1016/j.automatica.2007.02.008) (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)

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Official URL
http://dx.doi.org/10.1016/j.automatica.2007.02.008

Abstract

This paper considers fault detection and estimation issues for a class of nonlinear systems with uncertainty, using an equivalent output error injection approach. A particular design of sliding mode observer is presented for which the parameters can be obtained using LMI techniques. A fault estimation approach is presented to estimate the fault and the estimation error is dependent on the bounds on the uncertainty. For a special class of uncertainty, a fault reconstruction scheme is presented where the reconstructed signal can approximate the fault signal to any accuracy. The proposed fault estimation/reconstruction signals are only based on the available plant input/output information and can be calculated on-line. Finally, a simulation study on a robotic arm system is presented to show the effectiveness of the scheme.

Item Type: Article
DOI/Identification number: 10.1016/j.automatica.2007.02.008
Subjects: T Technology > TJ Mechanical engineering and machinery > Control engineering
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Xinggang Yan
Date Deposited: 12 Nov 2015 16:08 UTC
Last Modified: 29 May 2019 16:21 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/51787 (The current URI for this page, for reference purposes)
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