• DocumentCode
    14483
  • Title

    Energy-Based Mode Tracking of Hybrid Systems for FDI

  • Author

    Arogeti, Shai A. ; Wang, Danwei ; Low, Chang Boon ; Luo, Ming

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • Volume
    43
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan. 2013
  • Firstpage
    14
  • Lastpage
    28
  • Abstract
    Hybrid systems operate in various states, which are represented by a set of modes. In each mode, the system is governed by continuous dynamics, and different modes correspond to different continuous models. For hybrid systems, model-based fault detection and isolation is a challenging task due to the fact that the system´s prevailing dynamical model and its current mode (discrete state) are mutually dependent and intertwined. In this paper, a new energy-based approach is introduced for mode tracking of hybrid systems, and its associated systematic analysis is based on a hybrid bond graph. Each system´s mode is characterized by a concise energy relation that allows mode identification in the new mode tracking method.
  • Keywords
    bond graphs; condition monitoring; fault diagnosis; FDI; concise energy relation; continuous dynamics; continuous model; current mode; dynamical model; energy-based approach; energy-based mode tracking; hybrid bond graph; hybrid system mode tracking; hybrid systems; model-based fault detection-isolation; Computational modeling; Junctions; Monitoring; Observers; Power measurement; Sensors; Systematics; Fault diagnosis and isolation; hybrid systems; model based; power net (PN);
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics: Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2168-2216
  • Type

    jour

  • DOI
    10.1109/TSMCA.2012.2193879
  • Filename
    6205649