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Proportional Usage of Low-Level Actions in Model Predictive Control for Six-Phase Electric Drives

Author

Listed:
  • Angel Gonzalez-Prieto

    (Electrical Engineering Department, University of Málaga, 29071 Málaga, Spain)

  • Ignacio Gonzalez-Prieto

    (Electrical Engineering Department, University of Málaga, 29071 Málaga, Spain)

  • Mario J. Duran

    (Electrical Engineering Department, University of Málaga, 29071 Málaga, Spain)

  • Juan Carrillo-Rios

    (Electrical Engineering Department, University of Málaga, 29071 Málaga, Spain)

  • Juan J. Aciego

    (Electrical Engineering Department, University of Málaga, 29071 Málaga, Spain)

  • Pedro Salas-Biedma

    (Electrical Engineering Department, University of Málaga, 29071 Málaga, Spain)

Abstract

Finite Control-Set Model Predictive Control (FCS-MPC) appears as an interesting alternative to regulate multiphase electric drives, thanks to inherent advantages such as its capability to include new restrictions and fast-transient response. Nevertheless, in industrial applications, FCS-MPC is typically discarded to control multiphase motors because the absence of a modulation stage produces a high harmonic content. In this regard, multi-vectorial approaches are an innovative solution to improve the electric drive performance taking advantage of the implicit modulator flexibility of Model Predictive Control (MPC) strategies. This work proposes the definition of a new multi-vectorial set of control actions formed by a couple of adjacent large voltage vectors and a null voltage vector with an adaptative application ratio. The combination of two large voltage vectors provides minimum x-y current injection whereas the application of a null voltage vector reduces the active voltage production. Moreover, the optimum selection of the null voltage vector for each couple of large voltage vectors permits reducing the switching frequency. On the other hand, the active application time for this couple is estimated through an analytic function based on the operating point. This procedure avoids the use of an iterative process to define the duty cycles, hence significatively decreasing the computational burden.

Suggested Citation

  • Angel Gonzalez-Prieto & Ignacio Gonzalez-Prieto & Mario J. Duran & Juan Carrillo-Rios & Juan J. Aciego & Pedro Salas-Biedma, 2021. "Proportional Usage of Low-Level Actions in Model Predictive Control for Six-Phase Electric Drives," Energies, MDPI, vol. 14(14), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4358-:d:597304
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    References listed on IDEAS

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    1. Pedro Gonçalves & Sérgio Cruz & André Mendes, 2019. "Finite Control Set Model Predictive Control of Six-Phase Asymmetrical Machines—An Overview," Energies, MDPI, vol. 12(24), pages 1-42, December.
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    Cited by:

    1. Marwa Ben Slimene & Mohamed Arbi Khlifi, 2022. "Investigation on the Effects of Magnetic Saturation in Six-Phase Induction Machines with and without Cross Saturation of the Main Flux Path," Energies, MDPI, vol. 15(24), pages 1-18, December.

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