• DocumentCode
    3532908
  • Title

    Inversion-based synthesis algorithm of periodic fault detection and isolation filters

  • Author

    Varga, A.

  • Author_Institution
    Inst. of Syst. Dynamics & Control, German Aerosp. Center, Wessling, Germany
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    4367
  • Lastpage
    4372
  • Abstract
    A numerically reliable lifting-free computational method is proposed to solve fault detection and isolation problems for periodic systems using a model matching approach. The synthesis procedure employs numerically reliable algorithms to determine least order annihilators of periodic systems to reduce the corresponding periodic model matching problem to a simpler form. The reduced problem is then solved using an explicit periodic system inversion based approach. If the resulting fault detection filter is not stable and/or not causal, then a final stabilization step is performed using periodic coprime factorization techniques. The proposed integrated synthesis algorithm has strongly coupled computational steps, where all available structural information at the end of each computational step are fully exploited in the subsequent computations.
  • Keywords
    fault diagnosis; numerical analysis; stability; explicit periodic system inversion; fault detection filter; final stabilization step; inversion-based synthesis algorithm; isolation filters; isolation problems; least order annihilators; numerically reliable algorithms; numerically reliable lifting-free computational method; periodic coprime factorization; periodic fault detection; periodic model matching problem; periodic systems; structural information; synthesis procedure; Computational modeling; Detectors; Fault detection; Heuristic algorithms; Numerical models; Reliability; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760561
  • Filename
    6760561