• DocumentCode
    2631607
  • Title

    Using a weighting factor table for FCS-MPC of induction motors with extended prediction horizon

  • Author

    Davari, S. Alireza ; Khaburi, Davood Arab ; Kennel, Ralph

  • Author_Institution
    Oper. Elec. Eng. Dept., Iran Univ. of Sci. & Technol., Tehran, Iran
  • fYear
    2012
  • fDate
    25-28 Oct. 2012
  • Firstpage
    2086
  • Lastpage
    2091
  • Abstract
    In this paper a novel two-step prediction Finite Control Set Model Predictive Control (FCS-MPC) strategy with weighting factor look up table and divided control interval is presented. The method can be applied for a two-level inverter because of its low torque ripple. The weighting factor in cost function is selected via a look up table which is based on torque ripple minimization. Two-step prediction method is combined with dividing the control interval in two parts: active time for applying the active voltage vectors (AVV) and zero time for applying the zero voltage vector (ZVV). By using this technique the prediction horizon is doubled without serious increase of calculation burden. Simulation and experimental results prove the validity of the proposed method in a wide range of speed.
  • Keywords
    induction motors; machine control; predictive control; torque control; AVV; FCS-MPC; ZVV; active voltage vectors; divided control interval; extended prediction horizon; induction motors; torque ripple; torque ripple minimization; two-step prediction finite control set model predictive control; two-step prediction method; weighting factor table; zero voltage vector; Induction motor; Prediction horizon; Predictive torque control; Two-level VSI; Weighting factor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Montreal, QC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4673-2419-9
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2012.6388737
  • Filename
    6388737