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Predictive-Fixed Switching Current Control Strategy Applied to Six-Phase Induction Machine

Author

Listed:
  • Osvaldo Gonzalez

    (Laboratory of Power and Control Systems (LSPyC), Facultad de Ingeniería, Universidad Nacional de Asunción, Luque 2060, Paraguay)

  • Magno Ayala

    (Laboratory of Power and Control Systems (LSPyC), Facultad de Ingeniería, Universidad Nacional de Asunción, Luque 2060, Paraguay)

  • Jesus Doval-Gandoy

    (Applied Power Electronics Technology Research Group (APET), Universidad de Vigo, 363310 Vigo, Spain)

  • Jorge Rodas

    (Laboratory of Power and Control Systems (LSPyC), Facultad de Ingeniería, Universidad Nacional de Asunción, Luque 2060, Paraguay)

  • Raul Gregor

    (Laboratory of Power and Control Systems (LSPyC), Facultad de Ingeniería, Universidad Nacional de Asunción, Luque 2060, Paraguay)

  • Marco Rivera

    (Laboratory of Energy Conversion and Power Electronics, Universidad de Talca, 3340000 Curicó, Chile)

Abstract

In applications such as multiphase motor drives, classical predictive control strategies are characterized by a variable switching frequency which adds high harmonic content and ripple in the stator currents. This paper proposes a model predictive current control adding a modulation stage based on a switching pattern with the aim of generating a fixed switching frequency. Hence, the proposed controller takes into account the prediction of the two adjacent active vectors and null vector in the ( α - β ) frame defined by space vector modulation in order to reduce the ( x - y ) currents according to a defined cost function at each sampling period. Both simulation and experimental tests for a six-phase induction motor drive are provided and compared to the classical predictive control to validate the feasibility of the proposed control strategy.

Suggested Citation

  • Osvaldo Gonzalez & Magno Ayala & Jesus Doval-Gandoy & Jorge Rodas & Raul Gregor & Marco Rivera, 2019. "Predictive-Fixed Switching Current Control Strategy Applied to Six-Phase Induction Machine," Energies, MDPI, vol. 12(12), pages 1-14, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:12:p:2294-:d:240236
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    References listed on IDEAS

    as
    1. Yassine Kali & Magno Ayala & Jorge Rodas & Maarouf Saad & Jesus Doval-Gandoy & Raul Gregor & Khalid Benjelloun, 2019. "Current Control of a Six-Phase Induction Machine Drive Based on Discrete-Time Sliding Mode with Time Delay Estimation," Energies, MDPI, vol. 12(1), pages 1-17, January.
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    Citations

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    Cited by:

    1. Karol Wróbel & Piotr Serkies & Krzysztof Szabat, 2020. "Model Predictive Base Direct Speed Control of Induction Motor Drive—Continuous and Finite Set Approaches," Energies, MDPI, vol. 13(5), pages 1-15, March.
    2. Sergio Toledo & Edgar Maqueda & Marco Rivera & Raúl Gregor & Pat Wheeler & Carlos Romero, 2020. "Improved Predictive Control in Multi-Modular Matrix Converter for Six-Phase Generation Systems," Energies, MDPI, vol. 13(10), pages 1-13, May.
    3. Carlos Romero & Larizza Delorme & Osvaldo Gonzalez & Magno Ayala & Jorge Rodas & Raul Gregor, 2021. "Algorithm for Implementation of Optimal Vector Combinations in Model Predictive Current Control of Six-Phase Induction Machines," Energies, MDPI, vol. 14(13), pages 1-15, June.
    4. 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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