• DocumentCode
    1695833
  • Title

    Robust sensor fault diagnosis based on right eigenvector assignment

  • Author

    Wu, Ju-fen ; Zhao, Jin ; Shen, Zhong-yu ; Di, Li-ming

  • Author_Institution
    Sch. of Electr. & Autom. Eng., Nanjing Normal Univ., Nanjing, China
  • fYear
    2010
  • Firstpage
    5722
  • Lastpage
    5726
  • Abstract
    The fault diagnosis residual generator based on full order observer is designed aimed at the linear uncertain system having unknown disturbances. The method combined Singular Value Decomposition with right eigenvector assignment is developed, and the observer right eigenvectors are assigned parallel to the disturbance distribution directions, so it makes the residual generator itself decouple from disturbances and the residual signal robust with disturbances. The residual is not influenced by the uncertain disturbances in the process of sensor fault diagnosis and the reliability and precision of fault diagnosis are improved. The simulation results verify the method validity.
  • Keywords
    eigenvalues and eigenfunctions; fault diagnosis; linear systems; observers; sensors; singular value decomposition; uncertain systems; disturbance distribution; fault diagnosis residual generator; full order observer; linear uncertain system; right eigenvector assignment; sensor fault diagnosis; singular value decomposition; Aircraft; Automation; Fault detection; Fault diagnosis; Generators; Observers; Robustness; fault diagnosis observer; right eigenvector assignment; robustness; sensor fault;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554762
  • Filename
    5554762