• DocumentCode
    3731015
  • Title

    Robust detection and isolation of unknown sensor faults using interval observers and invariant sets

  • Author

    Junbo Tan; Weining Lu; Xueqian Wang; Bin Liang; Junfeng Tan

  • Author_Institution
    Center of Intelligent Control and Telescience, Graduate School at Shenzhen, Tsinghua University, 518000, China
  • fYear
    2015
  • Firstpage
    919
  • Lastpage
    924
  • Abstract
    Conventional interval observer-based sensor fault detection and isolation (FDI) approach mainly considers given magnitude fault. This paper proposes a novel robust detection and isolation approach of unknown sensor faults based on interval observers and invariant sets, which extends sensor faults with given magnitudes to sensor faults with unknown but bounded magnitudes. In addition, in order to reduce the conservativeness of proposed sensor-fault FDI approach, based on invariant sets, a collection of guaranteed FDI conditions are established from all interval observers. Under these conditions, all unknown but bounded faults can be detected and isolated. At the end, a numerical example is used to illustrate the effectiveness of the proposed approach.
  • Keywords
    "Observers","Robustness","Economic indicators","Fault detection","Numerical models","Switches","Trajectory"
  • Publisher
    ieee
  • Conference_Titel
    Chinese Automation Congress (CAC), 2015
  • Type

    conf

  • DOI
    10.1109/CAC.2015.7382629
  • Filename
    7382629