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Nonlinear robust fault reconstruction and estimation using a sliding mode observer

By Xing-Gang Yan and Christopher Edwards

Abstract

Metadata only entry.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/ouput 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

Topics: Nonlinear systems, Sliding mode observer, Fault reconstruction/estimation, Equivalent output injection
Publisher: Elsevier
Year: 2007
DOI identifier: 10.1016/j.automatica.2007.02.008
OAI identifier: oai:lra.le.ac.uk:2381/9763
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