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A Power Loss Decrease Method Based on Finite Set Model Predictive Control for a Motor Emulator with Reduced Switch Count

Author

Listed:
  • Rui Qin

    (School of Automation, Central South University, Changsha 410083, China)

  • Chunhua Yang

    (School of Automation, Central South University, Changsha 410083, China)

  • Hongwei Tao

    (School of Automation, Central South University, Changsha 410083, China)

  • Tao Peng

    (School of Automation, Central South University, Changsha 410083, China)

  • Chao Yang

    (School of Automation, Central South University, Changsha 410083, China)

  • Zhiwen Chen

    (School of Automation, Central South University, Changsha 410083, China)

Abstract

This paper presents a power loss decrease method based on finite set model predictive control (FSMPC) with delay compensation for a motor emulator with reduced switch count. Specifically, the topology and mathematical model of the proposed motor emulator with reduced switch count are firstly built. Secondly, in light of given instructions, the normal or fault reference current of the motor emulator is set by a reference current setter. Then delay compensation is applied for the predictive current model to calculate the current residual generated by each switch control signal, and the current tracking performance under actions of two adjacent switch control signals is evaluated for each sector. Finally, a switch power loss objective function is defined, then the two adjacent switch control signals that generate the lowest switch power loss are selected for the next second instant, which minimizes the power loss of the motor emulator with ensuring satisfied current tracking performance. Simulation and experimental results show the feasibility and effectiveness of the proposed method.

Suggested Citation

  • Rui Qin & Chunhua Yang & Hongwei Tao & Tao Peng & Chao Yang & Zhiwen Chen, 2019. "A Power Loss Decrease Method Based on Finite Set Model Predictive Control for a Motor Emulator with Reduced Switch Count," Energies, MDPI, vol. 12(24), pages 1-25, December.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4647-:d:295206
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    References listed on IDEAS

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    1. Xiaotao Chen & Weimin Wu & Ning Gao & Jiahao Liu & Henry Shu-Hung Chung & Frede Blaabjerg, 2019. "Finite Control Set Model Predictive Control for an LCL-Filtered Grid-Tied Inverter with Full Status Estimations under Unbalanced Grid Voltage," Energies, MDPI, vol. 12(14), pages 1-22, July.
    2. Shiyang Hu & Guorong Liu & Nan Jin & Leilei Guo, 2018. "Constant-Frequency Model Predictive Direct Power Control for Fault-Tolerant Bidirectional Voltage-Source Converter with Balanced Capacitor Voltage," Energies, MDPI, vol. 11(10), pages 1-20, October.
    3. Jaka Marguč & Mitja Truntič & Miran Rodič & Miro Milanovič, 2019. "FPGA Based Real-Time Emulation System for Power Electronics Converters," Energies, MDPI, vol. 12(6), pages 1-23, March.
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    Cited by:

    1. Amit Kumer Podder & Md. Habibullah & Md. Tariquzzaman & Eklas Hossain & Sanjeevikumar Padmanaban, 2020. "Power Loss Analysis of Solar Photovoltaic Integrated Model Predictive Control Based On-Grid Inverter," Energies, MDPI, vol. 13(18), pages 1-26, September.

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