• DocumentCode
    3179664
  • Title

    Fault Detection and Isolation for Inertial Measurement Units

  • Author

    Bras, Sergio ; Rosa, P. ; Silvestre, Carlos ; Oliveira, P.

  • Author_Institution
    Lab. of Robot. & Syst. in Eng. & Sci. (LARSyS), Univ. Tec. de Lisboa, Lisbon, Portugal
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    600
  • Lastpage
    605
  • Abstract
    This paper addresses the problem of Fault Detection and Isolation (FDI) for navigation systems equipped with sensors providing inertial measurements and vector observations. Two strategies are proposed. The first one takes advantage of existing hardware redundancy, providing sufficient conditions for the isolation of faults. The second approach exploits the analytical redundancy between the angular velocity measurements and the vector observations, by resorting to Set-Valued Observers (SVOs). The behavior of both strategies are illustrated in simulation.
  • Keywords
    aircraft navigation; angular measurement; fault diagnosis; inertial navigation; observers; velocity measurement; analytical redundancy; angular velocity measurement; fault detection; fault isolation; hardware redundancy; inertial measurement unit; navigation system; set-valued observer; vector observation; Angular velocity; Noise; Noise measurement; Redundancy; Sensor systems; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6426831
  • Filename
    6426831