• DocumentCode
    2996609
  • Title

    State and fault estimation in singular delayed LPV systems

  • Author

    Hossein Hassanabadi, Amir ; Shafiee, Masoud ; Puig, Vicenc

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Univ. of Technol. (Tehran Polytech.), Tehran, Iran
  • fYear
    2015
  • fDate
    10-14 May 2015
  • Firstpage
    1030
  • Lastpage
    1035
  • Abstract
    In this paper, the state and fault estimation problem of singular delayed LPV systems in the presence of disturbances and actuator faults is considered. The system under consideration has multiple unknown time varying delays. For both state and actuator fault estimation, an Unknown Input Observer (UIO) is proposed. Robustness to unknown inputs and uncertainty induced by unknown delays is formulated by means of the Bounded Real Lemma (BRL) for delayed LPV systems. UIO design procedure with a certain level of unknown input attenuation is formulated using LMIs. Also the best achievable attenuation level is computed in a convex optimization framework with LMI constraints. The efficiency of the proposed approach is illustrated via a numerical example.
  • Keywords
    convex programming; delay systems; fault diagnosis; linear matrix inequalities; linear parameter varying systems; observers; robust control; time-varying systems; BRL; LMI constraint; UIO design procedure; actuator fault; attenuation level; bounded real lemma; convex optimization framework; disturbance; fault estimation; robustness; singular delayed LPV system; state estimation; time varying delay; unknown delay; unknown input observer; Conferences; Decision support systems; Electrical engineering; Nickel; Fault Estimation; Robustness; Singular Delayed LPV Systems; Unknown Input Observer (UIO);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2015 23rd Iranian Conference on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4799-1971-0
  • Type

    conf

  • DOI
    10.1109/IranianCEE.2015.7146362
  • Filename
    7146362