Fault Detection and Isolation in Attitude Control Subsystem of Spacecraft Formation Flying Using Extended Kalman Filters

In this paper, the problem of fault detection and
isolation in the attitude control subsystem of spacecraft formation
flying is considered. In order to design the fault detection method, an
extended Kalman filter is utilized which is a nonlinear stochastic state
estimation method. Three fault detection architectures, namely,
centralized, decentralized, and semi-decentralized are designed based
on the extended Kalman filters. Moreover, the residual generation
and threshold selection techniques are proposed for these
architectures.

• S. Ghasemi
• K. Khorasani

• Formation flight of satellites
• extended Kalman filter
• fault detection and isolation
• actuator fault.

[1] Scharf, D.P.; Hadaegh, F.Y.; Ploen, S.R.; "A survey of spacecraft
formation flying guidance and control (part 1): guidance," American
Control Conference, 2003. Proceedings of the 2003, vol.2, no., pp.
1733- 1739, Jun 2003.
[2] Scharf, D.P.; Hadaegh, F.Y.; Ploen, S.R.; "A survey of spacecraft
formation flying guidance and control. Part II: control," American
Control Conference, 2004. Proceedings of the 2004, vol.4, no., pp.2976-
2985 vol.4, June 30 2004-July 2 2004.
[3] Jia Qing-xian; Zhang Ying-chun; Guan Yu; Wu Li-na; "Robust
nonlinear unknown input observer-based fault diagnosis for satellite
attitude control system," Intelligent Control and Information Processing
2011 2nd International Conference on , vol.1, no., pp.345-350, 2011.
[4] Jiang, T.; Khorasani, K.; Tafazoli, S.; "Parameter Estimation-Based
Fault Detection, Isolation and Recovery for Nonlinear Satellite Models,"
Control Systems Technology, IEEE Transactions on, vol.16, no.4,
pp.799-808, July 2008.
[5] Talebi, H.A.; Khorasani, K.; Tafazoli, S.; "A Recurrent Neural-
Network-Based Sensor and Actuator Fault Detection and Isolation for
Nonlinear Systems With Application to the Satellite's Attitude Control
Subsystem," Neural Networks, IEEE Transactions on , vol.20, no.1,
pp.45-60, Jan. 2009.
[6] Wang, J.; Jian, B.; Shi P.; “Adaptive Observer Based Fault Diagnosis for
Satellite Attitude Control Systems,” International Journal of Innovative
Computing, Information and Control, vol.4, no.8, Aug. 2008.
[7] Zhao-hui Cen; Jiao-long Wei; Jiang Rui; Liu Xiong; "Real-time fault
diagnosis of satellite attitude control system based on sliding-window
wavelet and DRNN," Control and Decision Conference (CCDC), 2010
Chinese , vol., no., pp.1218-1222, 26-28 May 2010.
[8] A. Barua and K. Khorasani, “Hierarchical Fault Diagnosis and Health
Monitoring in Satellites Formation Flight,” IEEE Transactions on
Systems, Man and Cybernetics - Part C, Vol. 41, No. 2, pp. 223-239,
March 2011.
[9] Azizi, S.M.; Khorasani, K.; "A distributed Kalman filter for actuator
fault estimation of deep space formation flying satellites," Systems
Conference, 2009 3rd Annual IEEE, vol., no., pp.354-359, March 2009.
[10] Qing Wu; Saif, M.; "Robust Fault Detection and Diagnosis for a
Multiple Satellite Formation Flying System Using Second Order Sliding
Mode and Wavelet Networks," American Control Conference, 2007.
ACC '07, vol., no., pp.426-431, 9-13 July 2007.
[11] P. C. Hughes, Spacecraft attitude Dynamics, John Wiley & Sons Inc.,
1986.