• DocumentCode
    45674
  • Title

    Deadlock Avoidance in Model Predictive Direct Torque Control

  • Author

    Burtscher, Thomas ; Geyer, Tobias

  • Author_Institution
    ABB MV Drives, Turgi, Switzerland
  • Volume
    49
  • Issue
    5
  • fYear
    2013
  • fDate
    Sept.-Oct. 2013
  • Firstpage
    2126
  • Lastpage
    2135
  • Abstract
    For medium-voltage ac drives, model predictive direct torque control (DTC) (MPDTC) shows excellent performance characteristics regarding the switching frequency and the harmonic distortion of the torque and the stator currents, outperforming classic control schemes such as DTC and field-oriented control. Aside from these advantages, the MPDTC algorithm runs occasionally into the so-called deadlocks, in which no suitable voltage vector exists, similar to DTC. Even though an exit strategy is available to resolve these situations, deadlocks tend to cause spikes in the instantaneous switching frequency and impact the overall performance of MPDTC. This paper focuses on new methods to avoid such deadlocks, using terminal constraints and terminal weights. The proposed methods greatly reduce-and, in many cases, completely avoid-deadlocks. Moreover, in the case of a five-level topology, a significant reduction of the switching frequency and the harmonic distortion is observable.
  • Keywords
    AC machines; electric drives; harmonic distortion; machine control; predictive control; stators; torque control; MPDTC algorithm; deadlock avoidance; five-level topology; harmonic distortion; instantaneous switching frequency; medium-voltage AC drives; model predictive DTC algorithm; model predictive direct torque control; overall performance impact; performance characteristics; stator currents; switching frequency reduction; terminal constraints; terminal weights; Medium-voltage drives; model predictive control (MPC); model predictive direct torque control (DTC) (MPDTC);
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2013.2261445
  • Filename
    6512590