• DocumentCode
    2905596
  • Title

    Speed and current Model Predictive Control of an IPM synchronous motor drive

  • Author

    Bolognani, Silverio ; Kennel, Ralph ; Kuehl, Sascha ; Paccagnella, Giorgio

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Padova, Padova, Italy
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    1597
  • Lastpage
    1602
  • Abstract
    Predictive control indicates a wide family of advanced control techniques that in last decade have been investigated in several studies and researches in the electrical drive field. This paper considers one of them, named Model Predictive Control (MPC). There are many advantages and interesting aspects in the use of this control technique compared to more traditional techniques that are usually employed in electrical drives. The typical cascade structure of FOC algorithms, for instance, can be avoided by implementing a single controller that manages both speed and currents. The innovation proposed within this paper is the application of Model Predictive Control to an IPM synchronous motor drive. Herein, special attention is given to the system´s non-linearities and how the controller can be modified to realize flux-weakening and other control strategies. After a detailed description of the strategy that has been implemented, in the last part of the paper most important results obtained by simulations and by testing on a real drive are shown and discussed.
  • Keywords
    angular velocity control; electric current control; machine control; permanent magnet motors; predictive control; synchronous motor drives; FOC algorithms; IPM synchronous motor drive; MPC; current model predictive control; electrical drive field; flux weakening; speed model predictive control; system nonlinearities; Couplings; Mathematical model; Optimization; Predictive control; Predictive models; Safety; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Machines & Drives Conference (IEMDC), 2011 IEEE International
  • Conference_Location
    Niagara Falls, ON
  • Print_ISBN
    978-1-4577-0060-6
  • Type

    conf

  • DOI
    10.1109/IEMDC.2011.5994599
  • Filename
    5994599