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On the Survivability of Self-repairing Control System for a Hybrid Underwater Vehicle

On the Survivability of Self-repairing Control System for a Hybrid Underwater Vehicle
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摘要 A hybrid remotely operated underwater vehicle( HROV) capable of working to the full ocean depth has been developed. In order for the vehicle to achieve a certain survivability level,a self-repairing control system( SRCS) has been designed. It consists of two basic technologies,fault diagnosis and isolation( FDI) and reconfigurable control. For FDI,a model-based hierarchical fault diagnosis system is designed for the HROV. Then,control strategies which reconfigure the control system at intervals according to information from the FDI system are presented. Combining the two technologies,it can obtain the fundamental frame of SRCS for the HROV. Considering the hazardous underwater environment at the limiting depth and the hybrid operating modes,an assessment of the HROV's survivability is vitally needed before it enters operational service. This paper presents a new definition of survivability for underwater vehicles and develops a simple survivability model for the SRCS. As a result of survivability assessment for the SRCS,we are able to figure out the survivability of SRCS and make further optimization about it. The methodology developed herein is also applicable to other types of underwater vehicles. A hybrid remotely operated underwater vehicle (HROV) capable of working to the full ocean depth has been developed. In order for the vehicle to achieve a certain survivability level, a self-repairing control system (SRCS) has been designed. It consists of two basic technologies, fault diagnosis and isolation (FDI) and reconfigurable control. For F'DI, a model-based hierarchical fault diagnosis system is designed for the HROV. Then, control strategies which reconfigure the control system at intervals according to information from the FDI system are presented. Combining the two technologies, it can obtain the fundamental frame of SRCS for the HROV. Considering the hazardous underwater environment at the limiting depth and the hybrid operating modes, an assessment of the HROV' s survivability is vitally needed before it enters operational service. This paper presents a new definition of survivability for underwater vehicles and develops a simple survivability model for the SRCS. As a result of survivability assessment for the SRCS, we are able to figure out the survivability of SRCS and make further optimization about it. The methodology developed herein is also applicable to other types of underwater vehicles.
出处 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2014年第1期32-42,共11页 哈尔滨工业大学学报(英文版)
基金 Sponsored by the National Natural Science Foundation of China(Grant No.51109132) Specialized Research Fund for the Doctoral Program of Higher Education of China(Grant No.20110073120015)
关键词 SURVIVABILITY SELF-REPAIRING HROV full ocean depth control system survivability, self-repairing, HROV, full ocean depth, control system
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  • 1Momma H, Watanabe M, Hashimoto K, et al. Loss of the full ocean depth ROV Kaikn+-Part 1: ROV Kaiko-A review. Proceedings of the 14th (2004) International Offshore and Offshore and Polar Engineering Conference. Toulon, France. 2004. 191-193.
  • 2Strutt J E. Report of the Inquiry into the Loss of Autosub 2 under the Fimbulisen. Southampton: University of Southampton, 2006. 1-43.
  • 3Steinberg M. Historical overview of research in reconfigurable flight control. Journal of aerospace Engineering, 2005, 219(4): 263-275.
  • 4Griffiths G, Millard N W, McPhail S D, et al. On the reliability of the autosub autonomous underwater vehicle. International Journal of the Society for Underwater Technology, 2003, 25(4): 175-184.
  • 5Brito M P, Griffiths G, Trembranis A. Eliciting Expert Judgment on the Probability of Loss of an AUV Operating in Four Environments. Southampton: University of Southampton, 2008. 1-198.
  • 6Griffiths G, Brito M, Robbins I, et al. Reliability of two REMUS-1oo AUVs based on fault log analysis and elicited expert judgment. http://nora.nerc.ac.uk/169184/, 2013- 05-01.
  • 7Brito M P, Griffiths G. Results of expert judgments on the faults and risks with Autosub3 and an analysis of its campaign to Pine Island Bay, Antarctica, 2009. http:// eprints.soton.ac. uk/69183/, 2009.
  • 8Weston S, Stachiw J, Merewether R, et al. Alumina ceramic 3. 6 in flotation spheres for., 11 km ROV I AUV systems. Proceedings of MTS/IEEE, OCEANS, 2005. Washington DC, 2005. 172 - 177.
  • 9De Kleer J, Williams B C. Diagnosing multiple faults. Artificial Intelligence, 1987, 32( 1) : 97-130.
  • 10Chittaro L, Ranon R. Hierarchical model-based diagnosis based on structural abstraction. Artificial Intelligence, 2004, 155( 1): 147-182.

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