Sensor fault detection and isolation for nonlinear systems based on a sliding mode observer

Yan, Xinggang and Edwards, Christopher (2007) Sensor fault detection and isolation for nonlinear systems based on a sliding mode observer. International Journal of Adaptive Control and Signal Processing, 21 (8-9). pp. 657-673. ISSN 0890-6327. (doi:https://doi.org/10.1002/acs.967) (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/10.1002/acs.967

Abstract

In this paper, a sensor fault detection and isolation scheme for nonlinear systems is considered. A nonlinear diffeomorphism is introduced to explore the system structure and a simple filter is presented to ‘transform’ the sensor fault into a pseudo-actuator fault scenario. A sliding mode observer is designed to reconstruct the sensor fault precisely if the system does not experience any uncertainty, and to estimate the sensor fault when uncertainty exists. The reconstruction and estimation signals are based only on available information and thus can be implemented online. Finally, a mass–spring system is used to illustrate the approach.

Item Type: Article
Uncontrolled keywords: fault detection and isolation;sliding modes;nonlinear observers
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Tina Thompson
Date Deposited: 25 Nov 2013 14:32 UTC
Last Modified: 09 Nov 2016 11:24 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/36894 (The current URI for this page, for reference purposes)
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