• DocumentCode
    3223381
  • Title

    Induction of on-board fault management for remote and autonomous systems

  • Author

    Pearce, Danny

  • Author_Institution
    Turing Institute Ltd., Glasgow, UK
  • fYear
    1992
  • fDate
    11-13 Aug 1992
  • Firstpage
    458
  • Lastpage
    462
  • Abstract
    The author presents a novel approach for producing the diagnostic logic that could be used as a basis for onboard satellite fault management system (FMS) design. He uses a qualitative model, exhaustive simulation, and rule induction to produce rules that cover all failure modes. The approach is applied to the attitude and orbital control subsystem (AOCS) of a communications satellite. Two stages of model building are performed: (i) without any FMS logic, and (ii) with FMS logic and recovery. Through qualitative modeling the AOCS, it is demonstrated that an induced knowledge-based FMS can be incorporated into a model and exhibit fully autonomous behaviour in the presence of faults
  • Keywords
    aerospace computer control; artificial satellites; attitude control; digital simulation; knowledge based systems; aerospace computer control; attitude control; autonomous systems; communications satellite; diagnostic logic; exhaustive simulation; knowledge based systems; onboard satellite fault management system; orbital control subsystem; qualitative model; rule induction; Computational modeling; Flexible manufacturing systems; Hardware; Low earth orbit satellites; Monitoring; Payloads; Predictive models; Real time systems; Sensor phenomena and characterization; Space missions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 1992., Proceedings of the 1992 IEEE International Symposium on
  • Conference_Location
    Glasgow
  • ISSN
    2158-9860
  • Print_ISBN
    0-7803-0546-9
  • Type

    conf

  • DOI
    10.1109/ISIC.1992.225135
  • Filename
    225135