Abstract
The differences of onboard faults characteristics and severity result in different models, methods and interfaces of fault diagnosis. Thus, FDIR (Fault Discovery, Identification and Recovery) systems usually use a hierarchical architecture in centralized or distributed styles. It is difficult for the centralized FDIR to guarantee the timeliness and coverage of fault diagnosis simultaneously, and the distributed one would bring safety problems. Both of them only focus on the health states of spacecrafts, while not considering its own reliability and reusability. Taking advantage of the above two, the architecture proposed by this paper keeps synthetic views of the spacecraft health states at higher levels and distributes local FDIR at lower levels to improve the timeliness and coverage of fault diagnosis simultaneously, which is based on the hierarchical architecture of spacecrafts and fault severity levels. To ensure the safety and reliability of the FDIR system, a highly decoupled runtime model is proposed. To improve the reusability of the architecture, a unified FDIR model is proposed, which includes hierarchical programming interfaces, etc.
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References
Olive X (2012) FDI (R) for satellites: how to deal with high availability and robustness in the space domain? Int J Appl Math Comput Sci 22(1):99–107
Gessner R et al (2004) Hierarchical FDIR concepts in S/C systems. In: Space OPS conference
Holsti N, Paakko M (2001) Towards advanced FDIR components. In: Data systems in aerospace, DASIA
Castel C et al (2006) FDIR strategies for autonomous satellite formations—a preliminary report. In: AAAI 2006 Fall symposium space autonomy: using AI to expand human space exploration
Zolghadri A (2012) Advanced model-based FDIR techniques for aerospace systems: today challenges and opportunities. Progr Aerosp Sci 53:18–29
Tipaldi M, Bruenjes B (2015) Survey on fault detection, isolation, and recovery strategies in the space domain. J Aerosp Inf Syst 12(2):235–256
Zolghadri A (2018) The challenge of advanced model-based FDIR for real-world flight-critical applications. Eng Appl Artif Intell 68:249–259
Elfving A, Stagnaro L, Winton A (2003) SMART-1: key technologies and autonomy implementations. Acta Astronaut 52:475–486
Wilmot J (2005) A core flight software system. In: Third IEEE/ACM/IFIP international conference on hardware/software codesign and system synthesis (CODES + ISSS’05). IEEE
Lemai S, Charmeau M, Olive X (2006) Decisional architecture for autonomous space systems. In: 9th ESA workshop on advanced space technologies for robotics and automation (ASTRA 2006), ESTEC, Noordwijk, The Netherlands
Dubey A, Karsai G, Mahadevan N (2011) Model-based software health management for real-time systems. In: Aerospace conference. IEEE
Acknowledgements
This paper is partly supported by the Pre-research of Civil Spacecraft Technology (No. B0204).
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Yuan, C., Peng, R., Zhan, P., Yuan, F. (2020). A Hierarchical FDIR Architecture Supporting Online Fault Diagnosis. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_305
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DOI: https://doi.org/10.1007/978-981-13-9409-6_305
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