Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/9761
Title: Sensor fault detection and isolation for nonlinear systems based on a sliding mode observer
Authors: Yan, Xing-Gang
Edwards, Christopher
First Published: 23-May-2007
Publisher: John Wiley and Sons
Citation: International Journal of Adaptive Control and Signal Processing, 2007, 21 (8-9), pp. 657-673.
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.
DOI Link: 10.1002/acs.967
ISSN: 0890-6327
eISSN: 1099-1115
Links: http://onlinelibrary.wiley.com/doi/10.1002/acs.967/abstract
http://hdl.handle.net/2381/9761
Type: Article
Rights: Copyright © 2007 John Wiley & Sons, Ltd.
Description: Metadata only entry.
Appears in Collections:Published Articles, Dept. of Engineering

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