• DocumentCode
    2273718
  • Title

    Performance analysis using a fuzzy rule base representation of the Cooper-Harper rating

  • Author

    Tseng, Chris ; Gupta, Puneet ; Schumann, Jorg

  • Author_Institution
    Dept. of Comput. Sci., San Jose State Univ., CA
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    The Cooper-Harper rating of aircraft handling qualities has been adopted as a standard for measuring the performance of aircraft since it was introduced in 1966. Aircraft performance, the ability to control the aircraft, and the degree of necessary pilot compensation are three major key factors for deciding the aircraft handling qualities in the Cooper-Harper rating scheme. We formulate the Cooper-Harper rating scheme as a fuzzy rule-based system and use it to analyze the performance of the aircraft controller. The automatic estimation of the current system-level handling quality provides valuable up-to-date information for diagnostics and vehicle health management
  • Keywords
    aerospace engineering; aircraft control; aircraft maintenance; knowledge based systems; Cooper-Harper rating; aircraft controller; aircraft diagnostics; aircraft handling qualities; automatic estimation; fuzzy rule base representation; vehicle health management; Aerospace control; Aircraft; Automatic control; Control systems; Fuzzy control; Fuzzy systems; Knowledge based systems; Measurement standards; Performance analysis; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2006 IEEE
  • Conference_Location
    Big Sky, MT
  • Print_ISBN
    0-7803-9545-X
  • Type

    conf

  • DOI
    10.1109/AERO.2006.1656112
  • Filename
    1656112