• DocumentCode
    1761171
  • Title

    Fault estimation filter design for discrete-time descriptor systems

  • Author

    Zhenhua Wang ; Rodrigues, Mickael ; Theilliol, Didier ; Yi Shen

  • Author_Institution
    Sch. of Astronaut., Harbin Inst. of Technol., Harbin, China
  • Volume
    9
  • Issue
    10
  • fYear
    2015
  • fDate
    6 25 2015
  • Firstpage
    1587
  • Lastpage
    1594
  • Abstract
    This study deals with actuator fault estimation for discrete-time linear descriptor systems. The main contribution lies in the synthesis of a novel filter to estimate and isolate actuator faults for discrete linear descriptor systems. In this study, a restricted system equivalent (RSE) model is firstly obtained for the considered descriptor system, and then a fault estimation filter is designed based on the RSE representation. The gain matrix of the proposed filter has a special structure such that the residual vector will tend to the actuator fault with certain time delays which equal to the fault detectability indices. Moreover, this study proposes a robust filter design method to deal with the effect of the unknown disturbance. The proposed filter is able to detect and estimate the faults despite in the presence of disturbance. The design conditions for the proposed filter are formulated as a linear matrix inequality feasibility problem, which can be solved efficiently. Simulation results are given to illustrate the effectiveness of the proposed method.
  • Keywords
    discrete time filters; estimation theory; fault diagnosis; linear matrix inequalities; vectors; RSE model; actuator fault isolation; discrete-time linear descriptor system; fault detectability index; fault estimation filter design; linear matrix inequality feasibility problem; residual vector; restricted system equivalent model; time delay;
  • fLanguage
    English
  • Journal_Title
    Control Theory & Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta.2014.0641
  • Filename
    7122422