• DocumentCode
    188760
  • Title

    On solving periodic ℋ2-optimal fault detection and isolation problems

  • Author

    Varga, A.

  • Author_Institution
    Inst. of Syst. Dynamics & Control, German Aerosp. Center (DLR), Wessling, Germany
  • fYear
    2014
  • fDate
    24-27 June 2014
  • Firstpage
    1281
  • Lastpage
    1286
  • Abstract
    A lifting-free computational method is proposed to solve approximate fault detection and isolation problems for periodic systems using an ℋ2-optimal model matching approach. The synthesis procedure relies on two key computational procedures: a numerically reliable algorithm to determine least order annihilators of periodic systems to reduce the periodic ℋ2-optimal model matching problem to a simpler standard form and a recently developed algorithm to compute inner-outer factorizations of periodic systems which allows a further reduction to a ℋ2 minimal distance problem. 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 overall computational 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
    H∞ control; control system synthesis; fault diagnosis; periodic control; stability; time-varying systems; ℋ2 minimal distance problem; ℋ2-optimal model matching approach; fault detection filter; final stabilization step; inner-outer factorizations; lifting-free computational method; periodic ℋ2-optimal fault detection and isolation problems; periodic coprime factorization techniques; periodic system least order annihilators; structural information; synthesis procedure; Computational modeling; Detectors; Fault detection; Noise; Numerical models; Reliability; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2014 European
  • Conference_Location
    Strasbourg
  • Print_ISBN
    978-3-9524269-1-3
  • Type

    conf

  • DOI
    10.1109/ECC.2014.6862179
  • Filename
    6862179