An overview of robust model-based fault diagnosis for satellite systems using sliding mode and learning approaches

Document Type

Conference Proceeding

Publication Date

12-1-2007

Publication Title

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

First Page

3159

Last Page

3164

Abstract

In this paper, our recent work on robust fault diagnosis (FD) for satellite control systems using sliding mode and learning approaches are summarized. Firstly, a variety of nonlinear mathematical models for satellites are described and analyzed for the purpose of fault diagnosis. Then, fault diagnostic sliding mode observer with time-varying gains is presented and analyzed. Two classes of learning estimators are integrated with the sliding mode observer to construct robust fault diagnosis schemes, which are investigated as well. Finally, conclusions and future work on the health monitoring and fault diagnosis for satellite systems are proposed. © 2007 IEEE.

DOI

10.1109/ICSMC.2007.4414209

ISSN

1062922X

ISBN

1424409918,9781424409914

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