• DocumentCode
    2452268
  • Title

    A Hybrid Differential Artificial Bee Algorithm based tuning of fractional order controller for PMSM drive

  • Author

    Rajasekhar, Anguluri ; Pant, Millie ; Abraham, Ajith

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Nat. Inst. of Technol., Warangal, India
  • fYear
    2011
  • fDate
    19-21 Oct. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This article proposes a novel Hybrid Differential Artificial Bee Colony Algorithm (HDABCA), which combines Differential Evolution with Artificial Bee Colony Algorithm (ABCA), for designing the fractional order proportional-integral controller (FO-PI) in a surface-mounted Permanent Magnet Synchronous Motor (PMSM) drive. FOPI controllers´ parameters involve proportionality constant, integral constant and integral order, and hence its design is more intricate than that of usual integral-order proportional-integral controller. Here the synthesis of controller is done according to the objective function considered. In order to digitally realize the fractional order PI controller, an Oustaloup approximation method is used. Simulations and comparisons of proposed HD-ABCA with conventional methods demonstrate the superiority of the proposed approach, especially for actuating fractional order plants.
  • Keywords
    control system synthesis; mathematical programming; three-term control; Oustaloup approximation method; PI controller; PMSM drive; differential evolution; fractional order controller tuning; fractional order proportional integral controller; hybrid differential artificial bee algorithm; integral order proportional integral controller; surface mounted permanent magnet synchronous motor drive; Algorithm design and analysis; Approximation methods; Mathematical model; Optimization; Permanent magnet motors; Torque; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nature and Biologically Inspired Computing (NaBIC), 2011 Third World Congress on
  • Conference_Location
    Salamanca
  • Print_ISBN
    978-1-4577-1122-0
  • Type

    conf

  • DOI
    10.1109/NaBIC.2011.6089408
  • Filename
    6089408