• DocumentCode
    3550021
  • Title

    Robust fault detection in matrix second-order linear systems via Luenberger-type unknown input observers: a parametric approach

  • Author

    Duan, G.-R. ; Wu, Y.L. ; Zhang, M.R.

  • Author_Institution
    Center for Control Theor. & Guidance Technol., Harbin Inst. of Technol., China
  • Volume
    3
  • fYear
    2004
  • fDate
    6-9 Dec. 2004
  • Firstpage
    1847
  • Abstract
    A new parametric approach for robust fault detection in matrix second-order linear (MSOL) systems with unknown disturbances is directly proposed in matrix second-order framework. The residual is generated through utilizing a Luenberger function observer of MSOL systems. Based on a recently proposed eigenstructure assignment approach for MSOL systems, parameterizations of the coefficient matrices of the Luenberger function observer are presented. By combining the parameterizations of the observer eigenvector matrix and an established condition for disturbance decoupling in MSOL systems, the effect of the disturbance to the residual signal is decoupled. A simple algorithm is presented. An example shows the effect of the proposed approach.
  • Keywords
    eigenstructure assignment; fault location; linear systems; matrix algebra; observers; Luenberger function observer; MSOL system; coefficient matrices; disturbance decoupling; eigenstructure assignment; matrix second-order linear system; observer eigenvector matrix; parameterizations; residual signal; robust fault detection; Control systems; Control theory; Equations; Fault detection; Linear systems; Process design; Robot control; Robustness; State-space methods; Vibration control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
  • Print_ISBN
    0-7803-8653-1
  • Type

    conf

  • DOI
    10.1109/ICARCV.2004.1469440
  • Filename
    1469440