• DocumentCode
    1794789
  • Title

    Analytical redundancy reconstruction and redundancy management for singular fault of normal accelerometer in FBW system

  • Author

    Wu Jian ; Zhang Kun ; Chen Lin ; Jin Bo

  • Author_Institution
    650 Res. Inst., Hongdu Aviation Ind. Group, Nanchang, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    120
  • Lastpage
    123
  • Abstract
    A research is made here for analytical redundancy reconstruction and redundancy management of the singular fault of normal accelerometer in fly-by-wire (FBW) system. Firstly by the means of model monitoring, the analytical redundancy of the normal accelerometer signal is reconstructed using hydrostatic dynamic pressure, pitch angular velocity, attack angle. Then the singular fault phenomenon during redundancy voting for quadruplex accelerometers is analyzed. The modified redundancy voting method is systematically provided with analytical redundancy to be the supplementary. Then the reliability of calculation models before and after improvement is given. Finally the analytical redundancy signals are verified comparison with measurement results and the reliability calculation before and after the improvement of redundancy voting are provided.
  • Keywords
    accelerometers; aircraft control; fault diagnosis; hydrostatics; redundancy; reliability; signal reconstruction; FBW system; analytical redundancy reconstruction; attack angle; fly-by-wire system; hydrostatic dynamic pressure; model monitoring; modified redundancy voting method; normal accelerometer; pitch angular velocity; quadruplex accelerometer; redundancy management; reliability calculation; singular fault phenomenon; Acceleration; Accelerometers; Aerospace control; Analytical models; Monitoring; Redundancy; Accelerometer; Analytical Redundancy; FBW System; Redundancy Management; Singular Fault;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007227
  • Filename
    7007227