• DocumentCode
    612885
  • Title

    Fuzzy and adaptive fuzzy PI controller based Vector control for permanent magnet synchronous motor

  • Author

    Seghir, A. Nait ; Henni, T. ; Azira, M.

  • Author_Institution
    LSEI Lab., Univ. of Sci. & Technol. Houari Boumediene, Algiers, Algeria
  • fYear
    2013
  • fDate
    10-12 April 2013
  • Firstpage
    491
  • Lastpage
    496
  • Abstract
    In this paper, we present a fuzzy logic based vector control for a permanent magnet synchronous machine (PMSM). Two schemes of fuzzy controllers are used, a fuzzy PI controller and a fuzzy parameters PI controller with adaptive parameters (FPPIC). The performances of the proposed Fuzzy Logic Controllers (FLC) are investigated and compared to those obtained from classical proportional-integral controllers (PIC) at different dynamic operating conditions. In the vector control scheme, the FLC controllers are used in the speed loop. The results obtained in the simulated tests show that the FLC is more robust and hence found to be suitable in high performance PMSM speed control when FPPIC presents the best dynamics performances in start-up part and in reference tracking.
  • Keywords
    PI control; adaptive control; fuzzy control; machine vector control; permanent magnet motors; synchronous motors; FLC; FPPIC; PMSM; adaptive fuzzy PI controller based vector control; adaptive parameters; dynamic operating conditions; fuzzy logic based vector control; fuzzy parameters PI controller; permanent magnet synchronous machine; permanent magnet synchronous motor; proportional-integral controllers; reference tracking; speed loop; start-up part; Fuzzy control; Fuzzy neural networks; Niobium; Process control; Fuzzy Logic; Fuzzy Logic Controller; Permanent Magnet Synchronous Motor; Vector Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control (ICNSC), 2013 10th IEEE International Conference on
  • Conference_Location
    Evry
  • Print_ISBN
    978-1-4673-5198-0
  • Electronic_ISBN
    978-1-4673-5199-7
  • Type

    conf

  • DOI
    10.1109/ICNSC.2013.6548788
  • Filename
    6548788