• DocumentCode
    184142
  • Title

    Observer-based fault tolerant controller design for Induction Motor drive in EV

  • Author

    Aouaouda, S. ; Boukhnifer, M.

  • Author_Institution
    LEER, Mohamed Cherif Messaadia Univ., Souk-Ahras, Algeria
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    1190
  • Lastpage
    1195
  • Abstract
    This paper deals with the problem of fault tolerant tracking controller (FTTC) design for Induction Motor (IM) drive in electric vehicle (EV) with optimal performance. First, the Takagi-Sugeno (T-S) model representation was adopted to approximate the nonlinear dynamic of IM subject to speed sensor faults and unknown bounded disturbance. Next based on robust H fault detection observer design a Modified Field Oriented Controller (MFOC) is designed. This scheme requires the knowledge of the occurring faults which are estimated from a descriptor observer. The observer gains were determined by solving a set of Linear Matrix Inequality (LMI). Finally, simulation results are given to demonstrate the controller´s effectiveness evaluated on 7.5kw Induction Motor.
  • Keywords
    H control; control system synthesis; electric vehicles; fault tolerant control; induction motor drives; linear matrix inequalities; nonlinear dynamical systems; observers; robust control; sensors; IM; LMI; Takagi-Sugeno model representation; electric vehicle; linear matrix inequality; modified field oriented controller; nonlinear dynamics; observer-based fault tolerant controller design; optimal performance; power 7.5 kW; robust H fault detection observer design; speed sensor faults; unknown bounded disturbance; Biological system modeling; Fault detection; Fault tolerance; Fault tolerant systems; Induction motors; Observers; Rotors; Electric vehicle (EV); LMI; T-S fuzzy model; descriptor observer; disturbance; fault tolerant controller (FTC); modified field-oriented control (MFOC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2014 IEEE Conference on
  • Conference_Location
    Juan Les Antibes
  • Type

    conf

  • DOI
    10.1109/CCA.2014.6981490
  • Filename
    6981490