• DocumentCode
    116269
  • Title

    Distributed fault detection in interconnected nonlinear uncertain systems

  • Author

    Khalili, Mohsen ; Xiaodong Zhang

  • Author_Institution
    Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    6548
  • Lastpage
    6553
  • Abstract
    In this paper, a distributed fault detection method is developed for a class of interconnected nonlinear uncertain systems. The interconnection between neighboring subsystems is unknown, but assumed to be bounded by a function of system states, inputs and outputs. A fault detection component is designed for each subsystem in the interconnected system by utilizing local measurements and certain communicated information from neighboring fault detection components associated with subsystems that are directly interconnected to the particular subsystem under consideration. Under certain assumptions, adaptive thresholds for distributed fault detection in each subsystem are derived, ensuring robustness with respect to interconnections among subsystems and system modeling uncertainty. Moreover, the fault detectability condition is rigorously investigated, characterizing the class of faults in each subsystem that are detectable by the proposed method. A multimachine power system simulation example is used to illustrate the effectiveness of the method.
  • Keywords
    control system synthesis; distributed control; fault diagnosis; interconnected systems; nonlinear control systems; uncertain systems; distributed fault detection method; fault detectability condition; fault detection component design; fault detection subsystem; interconnected nonlinear uncertain systems; multimachine power system simulation example; Circuit faults; Estimation error; Fault detection; Fault diagnosis; Integrated circuit interconnections; Uncertainty; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7040416
  • Filename
    7040416