• DocumentCode
    2925617
  • Title

    Fuzzy-Logic Based Selection of Surface Feature Observations for Small Body Proximity Operations

  • Author

    Howard, Ayanna M.

  • Author_Institution
    Georgia Inst. of Technol., Atlanta
  • fYear
    2006
  • fDate
    24-26 July 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we discuss the development of an autonomous system capable of maintaining surface feature references within sensor view by recommending spacecraft trajectory adjustments based on predefined criteria. The ability to localize with respect to terrain features is a necessary component for increasing the reliability of spacecraft position estimation during small body operations. The proposed algorithm uses the concept of fuzzy logic to maintain satisfaction of a number of feature selection criteria, which, when satisfied, allow consistent updating of feature observations. We provide details of the algorithm in this paper, and present results from integrating the algorithm into a small body descent simulator.
  • Keywords
    aerospace simulation; aircraft control; feature extraction; fuzzy logic; position control; autonomous spacecraft control; autonomous system development; feature selection criteria; fuzzy surface feature observation planner; fuzzy-logic based selection; small body descent simulator; small body proximity operation; spacecraft position estimation; spacecraft trajectory adjustment; Aerospace engineering; Automation; Fuzzy logic; Fuzzy systems; Humans; Maintenance engineering; Sensor systems; Space technology; Space vehicles; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2006. WAC '06. World
  • Conference_Location
    Budapest
  • Print_ISBN
    1-889335-33-9
  • Type

    conf

  • DOI
    10.1109/WAC.2006.375979
  • Filename
    4259895