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Proceedings Paper

A real-time fault diagnosis method of SACS based on combination of offline identification and online observing
Author(s): Zhao-hui Cen; Jiao-long Wei; Rui Jiang; Xiong Liu
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Paper Abstract

A novel fault diagnosis method based on the combination of offline identification and online observing is proposed in this paper, which can meet the requirement of both model complexity and real-time need for the satellite attitude control system. Accurate neural network models, both normal mode and faulty mode, can be obtained by off-line identification based on the data of fault simulation in different fault modes. With a parallel estimator derived from all models With all, fault determination based on threshold logic is designed for online fault detecting and isolating. Real-time simulation results, on the embedded fault simulation platform of satellite attitude control system, illustrate the effectiveness and superiority.

Paper Details

Date Published: 3 April 2010
PDF: 7 pages
Proc. SPIE 7651, International Conference on Space Information Technology 2009, 76513S (3 April 2010); doi: 10.1117/12.855502
Show Author Affiliations
Zhao-hui Cen, Huazhong Univ. of Science and Technology (China)
Jiao-long Wei, Huazhong Univ. of Science and Technology (China)
Rui Jiang, Huazhong Univ. of Science and Technology (China)
Xiong Liu, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7651:
International Conference on Space Information Technology 2009
Xingrui Ma; Baohua Yang; Ming Li, Editor(s)

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