• DocumentCode
    24587
  • Title

    Model Predictive Direct Torque Control With Finite Control Set for PMSM Drive Systems, Part 1: Maximum Torque Per Ampere Operation

  • Author

    Preindl, Matthias ; Bolognani, Saverio

  • Author_Institution
    Dept. of Ind. Eng., Univ. of Padova, Padua, Italy
  • Volume
    9
  • Issue
    4
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    1912
  • Lastpage
    1921
  • Abstract
    A novel type of Model Predictive Direct Torque Control (MP-DTC) is proposed in this paper. The future behavior of the plant is predicted using a discrete-time state-space model in the dq reference frame for a finite set of voltage vectors, which is pre-selected by a graph algorithm. The preferable input is chosen based on a cost function. Contrarily to conventional MP-DTC (and DTC), the stator flux is not explicitly controlled nor hysteresis bounds are used. The cost function is designed to meet multiple demands: torque reference tracking, Maximum Torque per Ampere (MTPA) tracking for high electrical efficiency, and limitation of the states to their maximum admissible values.
  • Keywords
    discrete time systems; graph theory; machine vector control; permanent magnet machines; predictive control; state-space methods; synchronous machines; torque control; tracking; voltage control; MP-DTC; MTPA tracking; Maximum Torque per Ampere tracking; PMSM drive system; cost function; discrete-time state-space model; electrical efficiency; finite control set; future plant behavior prediction; graph algorithm; hysteresis bounds; maximum torque per ampere operation; model predictive direct torque control; permanent magnet synchronous machine; stator flux; torque reference tracking; voltage vector; Cost function; Permanent magnet machines; Predictive control; Switching frequency; Torque control; Direct Torque Control (DTC); drive systems; model predictive control (MPC); permanent magnet synchronous machine (PMSM);
  • fLanguage
    English
  • Journal_Title
    Industrial Informatics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1551-3203
  • Type

    jour

  • DOI
    10.1109/TII.2012.2227265
  • Filename
    6418026