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A Hybrid Predictive Control for a Current Source Converter in an Aircraft DC Microgrid

Author

Listed:
  • Hui Yang

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Rui Tu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Ke Wang

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Jiaxing Lei

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Wenjia Wang

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Shuang Feng

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Chaofan Wei

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

Abstract

A current source converter (CSC) is a promising topology for interfacing aircraft generators with the onboard DC microgrid. In this paper, a hybrid predictive control is proposed for the CSC with an output LC filter in such application. Deadbeat predictive control with larger sampling time is applied to the output circuit, generating reference source currents. Finite-set model predictive control with smaller sampling time is applied to the input circuit to achieve sinusoidal source currents, which is simplified by saving the source current predictions. The proposed scheme eliminates both the proportional-integral controller and the weighting factor, which are required in the existing studies. Besides, it has lower control complexity. A SiC-MOSFET-based prototype is used to verify the validity of the proposed scheme. Experimental results under 150 V/350–800 Hz AC input and 270 V DC output demonstrate the superior control performance.

Suggested Citation

  • Hui Yang & Rui Tu & Ke Wang & Jiaxing Lei & Wenjia Wang & Shuang Feng & Chaofan Wei, 2019. "A Hybrid Predictive Control for a Current Source Converter in an Aircraft DC Microgrid," Energies, MDPI, vol. 12(21), pages 1-14, October.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4025-:d:279309
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    References listed on IDEAS

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    1. Shuang Feng & Chaofan Wei & Jiaxing Lei, 2019. "Reduction of Prediction Errors for the Matrix Converter with an Improved Model Predictive Control," Energies, MDPI, vol. 12(15), pages 1-20, August.
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    Cited by:

    1. Ariel Villalón & Marco Rivera & Yamisleydi Salgueiro & Javier Muñoz & Tomislav Dragičević & Frede Blaabjerg, 2020. "Predictive Control for Microgrid Applications: A Review Study," Energies, MDPI, vol. 13(10), pages 1-32, May.
    2. Phatiphat Thounthong & Pongsiri Mungporn & Serge Pierfederici & Damien Guilbert & Nicu Bizon, 2020. "Adaptive Control of Fuel Cell Converter Based on a New Hamiltonian Energy Function for Stabilizing the DC Bus in DC Microgrid Applications," Mathematics, MDPI, vol. 8(11), pages 1-25, November.

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