Fault detection in reaction wheel of a satellite using observer-based dynamic neural networks

Lecture Notes in Computer Science

Volumn 3498, Issue III, 2005, Pages 584-590

  Li, Zhongqi ^a   Ma, Liying ^a   Khorasani, Khashayar ^a  

^a Gina Cody School of Engineering and Computer Science   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FAULT TOLERANT COMPUTER SYSTEMS; SATELLITES;

ATTITUDE CONTROL SYSTEM (ACS); FAULT DETECTION; LUENBURGER LINEAR OBSERVER; NONLINEAR DYNAMICAL SYSTEM;

RECURRENT NEURAL NETWORKS;

EID: 24944515725     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11427469_93     Document Type: Conference Paper

References (7)

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2. Kaplan, M. H.: Modern Spacecraft Dynamics and Control. John Wiley and Sons (1976)
3. Kane, T. R., Likins, P. W., Levinson, D. A.: Spacecraft Dynamics. McGraw-Hill (1983)
4. Bialke, B.: High Fidelity Mathematical Modeling of Reaction Wheel Performance. Advances in Astronautical Sciences, 98 (1998) 483-496
5. Singer, S. F.: Torques and Attitude Sensing in Earth Satellites, ed. National Weather Satellite Center, Washington, D.C. (1964)
6. Haykin, S.: Neural Networks. A comprehensive Foundation, Prentice Hall (1999)
7. Chen, J., and Patton, R.J.: Robust Model-based Fault Diagnosis for Dynamic Systems. Kluwer Int. Series on Asian Studies in Computer & Information Science (1999)