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) (KAR id:51787)
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. | |
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 |
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DOI/Identification number: | 10.1016/j.automatica.2007.02.008 |
Subjects: | T Technology > TJ Mechanical engineering and machinery > Control engineering |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Xinggang Yan |
Date Deposited: | 12 Nov 2015 16:08 UTC |
Last Modified: | 16 Nov 2021 10:21 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/51787 (The current URI for this page, for reference purposes) |
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