• DocumentCode
    2826586
  • Title

    High-order sliding-mode observation and fault detection

  • Author

    Fridman, Leonid ; Davila, Jorge ; Levant, Arie

  • Author_Institution
    Nat. Autonomous Univ. of Mexico, Mexico
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    4317
  • Lastpage
    4322
  • Abstract
    A high-order sliding-mode observer is designed for linear time invariant systems with bounded unknown inputs. It provides the global observation of the state under sufficient and necessary conditions of strong observability or strong detectability. The observation is finite-time-convergent and exact in the strongly observable case and asymptotically exact in the strongly detectable case. An unknown input identification algorithm is proposed with finite time convergence for the strongly observable case, and asymptotic convergence for the strongly detectable case. Necessary and sufficient conditions for unknown input identification are given. The unknown input identification algorithm is applied for fault detection. The case of sensor-faults detection is considered without filtration.
  • Keywords
    control system synthesis; fault diagnosis; observers; variable structure systems; asymptotic convergence; fault detection; finite-time-convergent; global observation; high-order sliding-mode observation; linear time invariant systems; Control systems; Convergence; Fault detection; Filtration; Observers; Robustness; Sliding mode control; State estimation; USA Councils; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2007 46th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-1497-0
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2007.4434709
  • Filename
    4434709