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

Zhaohui Cen, Jiao Long Wei, Rui Jiang, Xiong Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume7651
DOIs
Publication statusPublished - 17 Jun 2010
Externally publishedYes
EventInternational Conference on Space Information Technology 2009 - Beijing, China
Duration: 26 Nov 200927 Nov 2009

Other

OtherInternational Conference on Space Information Technology 2009
CountryChina
CityBeijing
Period26/11/0927/11/09

Fingerprint

satellite attitude control
Fault Diagnosis
Fault Simulation
Failure analysis
Fault
Attitude Control
Attitude control
Real-time
threshold logic
Control System
Threshold logic
Satellites
Control systems
Model Complexity
simulation
Simulation Platform
Normal Modes
Neural Network Model
estimators
platforms

Keywords

  • Neural network
  • Offline Identification
  • Real-time Fault Diagnosis
  • Satellite Attitude Control System

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Cen, Z., Wei, J. L., Jiang, R., & Liu, X. (2010). A real-time fault diagnosis method of SACS based on combination of offline identification and online observing. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 7651). [76513S] https://doi.org/10.1117/12.855502

A real-time fault diagnosis method of SACS based on combination of offline identification and online observing. / Cen, Zhaohui; Wei, Jiao Long; Jiang, Rui; Liu, Xiong.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7651 2010. 76513S.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cen, Z, Wei, JL, Jiang, R & Liu, X 2010, A real-time fault diagnosis method of SACS based on combination of offline identification and online observing. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 7651, 76513S, International Conference on Space Information Technology 2009, Beijing, China, 26/11/09. https://doi.org/10.1117/12.855502
Cen Z, Wei JL, Jiang R, Liu X. A real-time fault diagnosis method of SACS based on combination of offline identification and online observing. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7651. 2010. 76513S https://doi.org/10.1117/12.855502
Cen, Zhaohui ; Wei, Jiao Long ; Jiang, Rui ; Liu, Xiong. / A real-time fault diagnosis method of SACS based on combination of offline identification and online observing. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7651 2010.
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