• DocumentCode
    2591867
  • Title

    A sensitivity analysis of the IFOC and MRAC induction machine drives including a robust parameter estimation method

  • Author

    De Vasconcelos, Carlos Henrique Silva ; Peixoto, Zelia Myriam Assis

  • Author_Institution
    CEFET-MG, Pontificia Univ. Catolica de Minas Gerais., Leopoldina, Brazil
  • fYear
    2009
  • fDate
    Sept. 27 2009-Oct. 1 2009
  • Firstpage
    505
  • Lastpage
    511
  • Abstract
    This paper presents a comparative analysis of two speed control methods applied to the induction machine: - the indirect field oriented vector control (IFOC) and the model reference adaptive control (MRAC), including a robust parameter estimation technique. The IFOC and MRAC strategies are based on the same control vector principles. As will be demonstrated, the inclusion of a robust parameter estimation procedure in these control methods will provide the increasing of its robustness in relation to the changes of the electrical parameters of the machine. The simulation results indicate the improvement of the proposed methods. Experimental tests prove the robustness of the estimation scheme and a better performance of the robust IFOC-controlled induction machine.
  • Keywords
    adaptive control; angular velocity control; induction motor drives; machine vector control; parameter estimation; sensitivity analysis; IFOC; MRAC induction machine drives; indirect field oriented vector control; model reference adaptive control; robust parameter estimation method; sensitivity analysis; two speed control methods; Adaptive control; Frequency; Inductance; Induction machines; Machine vector control; Parameter estimation; Robust control; Robustness; Sensitivity analysis; Stators; Adaptive control; induction machine; robust estimation; sensitivity analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Conference, 2009. COBEP '09. Brazilian
  • Conference_Location
    Bonito-Mato Grosso do Sul
  • ISSN
    2175-8603
  • Print_ISBN
    978-1-4244-3369-8
  • Electronic_ISBN
    2175-8603
  • Type

    conf

  • DOI
    10.1109/COBEP.2009.5347611
  • Filename
    5347611