• DocumentCode
    2025975
  • Title

    BFO control tuning of a PMSM high speed drive

  • Author

    Aymen, Flah ; Lassâad, Sbita

  • Author_Institution
    Nat. Sch. of Eng. of Gabes, Univ. of Gabes, Gabes, Tunisia
  • fYear
    2012
  • fDate
    25-28 March 2012
  • Firstpage
    273
  • Lastpage
    276
  • Abstract
    In this paper a new online adjustable adaptive field weakening, based on the Bacterial foraging optimization algorithms is presented. In the traction and electric vehicle applications, the high speed mode is important. Effectively the Field weakening technique is needed. However in the environment supported by the system, many parameters can influence on the global control technique, like temperature, dust or vibration. Well, to resolve these problems a new adaptive control technique, support this variations, is presented in this paper.
  • Keywords
    electric vehicles; machine control; permanent magnet motors; synchronous motor drives; traction; BFO control tuning; Bacterial foraging optimization algorithms; PMSM high speed drive; PMSM parameter; electric vehicle application; global control technique; online adjustable adaptive field weakening technique; permanent magnet synchronous motor; traction application; Mathematical model; Microorganisms; Optimization; Parameter estimation; Permanent magnet motors; Stators; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
  • Conference_Location
    Yasmine Hammamet
  • ISSN
    2158-8473
  • Print_ISBN
    978-1-4673-0782-6
  • Type

    conf

  • DOI
    10.1109/MELCON.2012.6196431
  • Filename
    6196431