FDI(R) for satellites: how to deal with high availability and robustness in the space domain?

• Autorzy: Olive X.
• Języki publikacji: EN

Abstrakty

EN

The European leader for satellite systems and at the forefront of orbital infrastructures, Thales Alenia Space, is a joint venture between Thales (67%) and Finmeccanica (33%) and forms with Telespazio a Space Alliance. Thales Alenia Space is a worldwide reference in telecoms, radar and optical Earth observation, defence and security, navigation and science. It has 11 industrial sites in 4 European countries (France, Italy, Spain and Belgium) with over 7200 employees worldwide. Satellite evolution and the wish to design more autonomous missions imply the enhancement of the satellite architecture and special attention paid to fault management (i.e., Fault Detection, Isolation and Recovery, or FDIR, in space). Nevertheless, the constraints on FDIR techniques and strategies remain the same as for standard missions: robustness, reactive detection, quick isolation/identification and validation. This paper gives an introduction to Fault Tolerance (FT) in the space domain and some principles for the coming FT architectures. The current context of FDIR is presented by describing the approach implemented on telecommunication satellites and, more precisely, on one of the most FDIR sensible subsystems: the AOCS (Attitude and Orbit Control System). Following the current state of FDIR in the space domain, some perspectives are given such as a centralized distributed FDIR strategy for the next generation of autonomous satellites as well as some research tracks and hybrid diagnosis.

Słowa kluczowe

EN

aerospace applications; discrete event system; hybrid system; diagnosis; fault detection

PL

system dyskretny; system hybrydowy; detekcja uszkodzeń

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2012
• Tom: Vol. 22, no. 1
• Strony: 99--107
• Opis fizyczny: Bibliogr. 12 poz., rys., tab., wykr.

Twórcy

autor

Olive X.

• Thales Alenia Space 100 Boulevard du Midi, BP 99, 06156 Cannes La Bocca, France,

Bibliografia

• [1] Alami, R., Chatila, R., Fleury, S., Ghallab, M. and Ingrand, F. (1998). An architecture for autonomy, International Journal of Robotics Research 17(4): 315-337.
• [2] Bayoudh, M., Travé-Massuyès, L. and Olive, X. (2008). Hybrid systems diagnosis by coupling continuous and discrete event techniques, Proceedings of the 17th World Congress of the International Federation of Automatic Control, Seoul, Korea.
• [3] Bayoudh, M., Travé-Massuyès, L. and Olive, X. (2009). Coupling continuous and discrete event system techniques for hybrid systems diagnosability analysis, Proceedings of the 18th European Conference on Artificial Intelligence, ECAI, Patras, Greece, pp. 219-223.
• [4] Benazera, E. and Travé-Massuyès, L. (2009). Set-theoretic estimation of hybrid system configurations, IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics 39(5): 1277-1291.
• [5] Bonasso, R. P., Firby, J., Gat, E., Kortenkamp, D., Miller, D. and Slack, M. (1997). Experiences with an architecture for intelligent, reactive agents, Journal of Experimental and Theoretical Artificial Intelligence 9(2/3): 237-256.
• [6] ECSS (2005). Space engineering: Space segment operability, European Cooperation for Space Standardization Standard, August.
• [7] Garcia, G., Roubion, C. and Prunier, S. (2004). Java as a standardized on-board control procedures platform?, Actes de DAta Systems In Aerospace (DASIA), Nice, France.
• [8] Grenaille, S., Henry, D. and Zolghadri, A. (2004). Fault diagnosis in satellites using H-infinity estimators, Proceedings of the IEEE Iternational Conference on Systems, Man and Cybernetics Vol. 6, The Hague, The Netherlands, pp. 5195-5200.
• [9] Lemai, S., Charmeau,M. and Olive, X. (2006). Decisional architecture for autonomous space systems, 9th ESA Workshop on Advanced Space Technologies for Robotics and Automation (ASTRA 2006), ESTEC, Noordwijk, The Netherlands.
• [10] Muscettola, N., Nayak, P., Pell, B. and Williams, B. (1998). Remote agent: To boldly go where no AI system has gone before, Artificial Intelligence 103(1-2): 5-47.
• [11] Pencole, Y., Kamenetsky, D. and Schumann, A. (2006). Towards low-cost fault diagnosis in large component based systems, 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS-06), Beijing, China.
• [12] Sampath, M., Sengputa, R., Lafortune, S., Sinnamohideen, K. and Teneketsis, D. (1995). Diagnosability of discreteevent systems, IEEE Transactions on Automatic Control 40(9): 1555-1575.