A real-time fault diagnosis method of SACS based on combination of offline identification and online observing

Zhao-hui Cen; Jiao-long Wei; Rui Jiang; Xiong Liu

doi:10.1117/12.855502

2 April 2010 A real-time fault diagnosis method of SACS based on combination of offline identification and online observing

Zhao-hui Cen, Jiao-long Wei, Rui Jiang, Xiong Liu

Author Affiliations +

Proceedings Volume 7651, International Conference on Space Information Technology 2009; 76513S (2010) https://doi.org/10.1117/12.855502
Event: International Conference on Space Information Technology 2009, 2009, Beijing, China

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.

Citation Download Citation

Zhao-hui Cen, Jiao-long Wei, Rui Jiang, and Xiong Liu "A real-time fault diagnosis method of SACS based on combination of offline identification and online observing", Proc. SPIE 7651, International Conference on Space Information Technology 2009, 76513S (2 April 2010); https://doi.org/10.1117/12.855502

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