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Fault Reconstruction Based on Sliding Mode Observer for Nonlinear Systems
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-06
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
This paper presents a precision fault reconstruction scheme for a class of nonlinear systems involving unknown input disturbances.
First, using the coordinate transformation algorithm, the disturbances and faults of the system are fully decoupled.
Therefore, it is possible to eliminate the influence of disturbances to the system, namely, better disturbances robustness.
On this basis, the design of a sliding mode state observer makes the most genuine reconstruction realizable, instead of estimation of faults.
Furthermore, with the equivalent principle of sliding mode variable structure, the precision reconstruction of arbitrary nonlinear faults is achieved.
Finally, the applications of fault reconstruction in a third-order nonlinear theoretical model with disturbances and in a single-link robot system, respectively, have demonstrated the validity of the proposed scheme.
American Psychological Association (APA)
He, Jing& Zhang, Chang-fan. 2012. Fault Reconstruction Based on Sliding Mode Observer for Nonlinear Systems. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-22.
https://search.emarefa.net/detail/BIM-1029584
Modern Language Association (MLA)
He, Jing& Zhang, Chang-fan. Fault Reconstruction Based on Sliding Mode Observer for Nonlinear Systems. Mathematical Problems in Engineering No. 2012 (2012), pp.1-22.
https://search.emarefa.net/detail/BIM-1029584
American Medical Association (AMA)
He, Jing& Zhang, Chang-fan. Fault Reconstruction Based on Sliding Mode Observer for Nonlinear Systems. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-22.
https://search.emarefa.net/detail/BIM-1029584
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1029584