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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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.
|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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