Yan, X.G. and Edwards, C. (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 .
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| 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 |
|---|---|
| Subjects: | T Technology > TJ Mechanical engineering and machinery > Control engineering |
| Divisions: | Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems |
| Depositing User: | Jenny Harries |
| Date Deposited: | 26 Apr 2011 09:35 |
| Last Modified: | 03 Oct 2012 15:53 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/27727 (The current URI for this page, for reference purposes) |
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