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.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1100138Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1512
 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.
 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.
 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.
 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.
 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.
 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.
 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.
 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.
 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.
 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.
 P. C. Hughes, Spacecraft attitude Dynamics, John Wiley & Sons Inc., 1986.