• DocumentCode
    2398
  • Title

    Delay-independent fault detection and accommodation for non-linear strict-feedback systems with unknown time-varying delays

  • Author

    Yoo, Sung Jin

  • Author_Institution
    Chung-Ang University, South Korea
  • Volume
    9
  • Issue
    2
  • fYear
    2015
  • fDate
    1 19 2015
  • Firstpage
    293
  • Lastpage
    299
  • Abstract
    This study presents a time-delay-independent fault detection and adaptive accommodation control scheme for strict-feedback systems with unknown multiple time-delayed non-linear faults. The magnitude and occurrence time of the multiple faults with unknown time-varying delays are unknown. First, a detection threshold is derived to design a time-delay-independent fault detection scheme for the time-delay systems and the fault detectability is analysed. Second, an adaptive approximation design for a time-delay-independent fault accommodation control is addressed. The adaptation technique is applied to learn weights of function approximators and thus the multiple faults can be compensated after the detection of the first fault. It is shown that all signals of the closed-loop system are semi-globally uniformly ultimately bounded and the tracking error converges to an adjustable neighbourhood of the origin.
  • Keywords
    adaptive control; closed loop systems; delay systems; fault diagnosis; feedback; function approximation; nonlinear control systems; time-varying systems; adaptation technique; adaptive accommodation control scheme; adaptive approximation design; closed-loop system; detection threshold; function approximators; nonlinear strict-feedback systems; time-delay-independent fault accommodation control; time-delay-independent fault detection scheme; tracking error; unknown multiple time-delayed nonlinear faults; unknown time-varying delay system;
  • fLanguage
    English
  • Journal_Title
    Control Theory & Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta.2014.0442
  • Filename
    7068089