• DocumentCode
    2012126
  • Title

    Variable switching point predictive torque control

  • Author

    Karamanakos, Petros ; Stolze, P. ; Kennel, Ralph ; Manias, S. ; Mouton, T.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens, Greece
  • fYear
    2013
  • fDate
    25-28 Feb. 2013
  • Firstpage
    422
  • Lastpage
    427
  • Abstract
    In this paper an approach to include a variable switching time point into predictive torque control (PTC) is introduced. In PTC the switching frequency is limited by the sampling frequency; its theoretical maximum value is half the sampling frequency. In reality, however, the switching frequency is lower than this value, resulting in high current and torque ripples compared to modulator-based control methods. In order to overcome this an optimization problem is formulated and solved in real-time. The goal is to find the time point at which the switches of the inverter should change state in order to not only achieve the regulation of the torque and the flux magnitude to their references, but also the minimization of the torque ripple. Further advantages of the proposed method include the design flexibility and great performance during transients. Experimental results that verify the performance of the presented control strategy are included.
  • Keywords
    invertors; permanent magnet motors; predictive control; synchronous motors; time-varying systems; torque control; PMSM; PTC; flux magnitude; inverter; modulator-based control methods; optimization problem; permanent magnet synchronous motor; sampling frequency; switches; switching frequency; time point; torque regulation; torque ripple minimization; torque ripples; variable switching point predictive torque control; Inverters; Rotors; Stators; Switches; Switching frequency; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2013 IEEE International Conference on
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4673-4567-5
  • Electronic_ISBN
    978-1-4673-4568-2
  • Type

    conf

  • DOI
    10.1109/ICIT.2013.6505709
  • Filename
    6505709