• DocumentCode
    1999626
  • Title

    Variable sampling time finite control-set model predictive current control for voltage source inverters

  • Author

    Hoffmann, Nils ; Andresen, Markus ; Fuchs, Friedrich W. ; Asiminoaei, Lucian ; Thøgersen, Paul B.

  • Author_Institution
    Inst. for Power Electron. & Electr. Drives, Christian-Albrechts-Univ. of Kiel, Kiel, Germany
  • fYear
    2012
  • fDate
    15-20 Sept. 2012
  • Firstpage
    2215
  • Lastpage
    2222
  • Abstract
    This work introduces the control concept of variable sampling time finite control-set model predictive control (FCS-MPC). The new control concept is introduced in theory based on a review of the conventional FCS-MPC concepts performed with a constant sampling time. Based on the partitioning of the sampling instant in multiple smaller sampling instants it is possible to optimize, besides the switching states, the switching states turn-on times. Therefore, the proposed variable sampling time FCS-MPC sets both: the switching state and the related turn-on times. To utilize the available calculation power for longer sampling instants an adaptation of the control- and prediction horizon to the sampling time is proposed. The theoretical control concepts are applied to the control of a grid connected two-level voltage-source converter where a simple L-type line-filter is used to demonstrate the control performance of the variable sampling time FCS-MPC algorithms in the laboratory environment.
  • Keywords
    electric current control; invertors; predictive control; FCS-MPC concepts; L-type line-filter; grid connected two-level voltage-source converter; laboratory environment; prediction horizon; predictive current control; switching state turn-on times; variable sampling time finite control-set model; voltage source inverters; Current control; Inverters; Optimization; Prediction algorithms; Switches; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition (ECCE), 2012 IEEE
  • Conference_Location
    Raleigh, NC
  • Print_ISBN
    978-1-4673-0802-1
  • Electronic_ISBN
    978-1-4673-0801-4
  • Type

    conf

  • DOI
    10.1109/ECCE.2012.6342440
  • Filename
    6342440