Please use this identifier to cite or link to this item:
Title: Nonlinear robust fault reconstruction and estimation using a sliding mode observer
Authors: Yan, Xing-Gang
Edwards, Christopher
First Published: 24-Jul-2007
Publisher: Elsevier
Citation: Automatica, 2007, 43 (9), pp. 1605-1614.
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/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.
DOI Link: 10.1016/j.automatica.2007.02.008
ISSN: 0005-1098
Type: Article
Rights: © 2007 Elsevier Ltd.
Description: Metadata only entry.
Appears in Collections:Published Articles, Dept. of Engineering

Files in This Item:
There are no files associated with this item.

Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.