Yan, Xinggang, Edwards, Christopher (2008) Adaptive Sliding-Mode-Observer-Based Fault Reconstruction for Nonlinear Systems With Parametric Uncertainties. IEEE Transactions on Industrial Electronics, 55 (11). pp. 4029-4036. ISSN 0278-0046. (doi:10.1109/TIE.2008.2003367) (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:27727)
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/10.1109/TIE.2008.2003367 |
Abstract
In this paper, a class of nonlinear systems with uncertain parameters is considered. A novel adaptive law is designed to identify unknown parameters under the assumption that the time derivative of some of the outputs is measurable. Then, a sliding-mode observer is proposed to estimate the system state variables. By using the inherent features of sliding-mode observers, a fault-reconstruction scheme is proposed which can be implemented online. The proposed reconstruction signal can approximate the fault signal to any required accuracy even in the presence of uncertain parameters. A simulation example for a magnetic-levitation system is given to illustrate the feasibility and effectiveness of the proposed scheme.
Item Type: | Article |
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DOI/Identification number: | 10.1109/TIE.2008.2003367 |
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: | J. Harries |
Date Deposited: | 26 Apr 2011 09:35 UTC |
Last Modified: | 16 Nov 2021 10:06 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/27727 (The current URI for this page, for reference purposes) |
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