• DocumentCode
    666626
  • Title

    A novel hybrid finite control set model predictive control scheme with reduced switching

  • Author

    Ramirez, Roberto O. ; Espinoza, Jose R. ; Villarroel, Felipe A. ; Maurelia, Eduardo A. ; Reyes, Marcelo E. ; Espinosa, Eduardo E.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Concepcion, Concepcion, Chile
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    5770
  • Lastpage
    5775
  • Abstract
    This work presents a new control scheme based on a finite states model predictive control aimed to fix the switching frequency and to reduce the spectrum dispersion on the output variables of static converters while regulating the sate variables as required by the references. These topics are particularly important in the operation of power converters including filters with resonant modes and in the overall efficiency due to the switching losses. The proposed scheme allows obtaining continuous outputs from the optimization process of MPC, thus exploiting the advantages of modulated schemes like known spectrum and fixed switching frequency. Simulated results show the proper performance of the proposed scheme, without significant reduction on the dynamic response in comparison to previous schemes using direct, non-modulated outputs.
  • Keywords
    dynamic response; optimisation; power filters; predictive control; resonant power convertors; switching convertors; MPC optimization process; dynamic response reduction; finite state model predictive control; fixed switching frequency; hybrid finite control set model predictive control scheme; output variables; power converters; reduced switching; resonant modes; spectrum dispersion reduction; static converters; switching frequency; switching losses; Frequency modulation; Predictive control; Predictive models; Rectifiers; Switches; Switching frequency; Predictive Control; fixed switching frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
  • Conference_Location
    Vienna
  • ISSN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2013.6700080
  • Filename
    6700080