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Robust Predictive Power Control of N *3-Phase PMSM for Flywheel Energy Storage Systems Application

Author

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  • Wenjuan Zhang

    (College of Electrical and Information Engineering, Changsha University, Changsha 410082, China
    College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Yu Li

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Gongping Wu

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Zhimeng Rao

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Jian Gao

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Derong Luo

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

Abstract

In this study, a robust predictive power control (R-PPC) method for an N *3-phase permanent magnet synchronous motor (PMSM) is developed in the field of flywheel energy storage systems application, which can effectively improve robustness against inductance parameter mismatch and compensate for the one-beat delay. Firstly, the mathematical model of the N *3-phase PMSM is illustrated, and the topological structure of the N *3-phase PMSM is established. The R-PPC method of the N *3-phase PMSM is then proposed by using the d–q axis current robust predictive control theory. Robustness factors are adopted to modify the current response values in the proposed robust predictive power controller, which can obtain excellent current control performance under the inductance parameter mismatch. Moreover, the next current predicted value is used to replace the current sampled value in the proposed R-PPC method to eliminate the one-beat delay. Finally, comparative simulation and experimental results verify that the proposed R-PPC method can achieve excellent current track performance and smaller torque ripple under both the charge state and discharge state.

Suggested Citation

  • Wenjuan Zhang & Yu Li & Gongping Wu & Zhimeng Rao & Jian Gao & Derong Luo, 2021. "Robust Predictive Power Control of N *3-Phase PMSM for Flywheel Energy Storage Systems Application," Energies, MDPI, vol. 14(12), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3684-:d:578688
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    References listed on IDEAS

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    1. Wenjuan Zhang & Gongping Wu & Zhimeng Rao & Jian Zheng & Derong Luo, 2020. "Predictive Power Control of Novel N *3-phase PM Energy Storage Motor for Urban Rail Transit," Energies, MDPI, vol. 13(7), pages 1-17, April.
    2. Mingcheng Lyu & Gongping Wu & Derong Luo & Fei Rong & Shoudao Huang, 2019. "Robust Nonlinear Predictive Current Control Techniques for PMSM," Energies, MDPI, vol. 12(3), pages 1-19, January.
    3. Zhimeng Rao & Zhigang Zhang & Shoudao Huang & Zhuo Long & Gongping Wu, 2020. "Characteristics and Current Harmonic Control of N* Three-Phase PMSG for HVDC Transmission Based on MMC," Energies, MDPI, vol. 13(1), pages 1-15, January.
    4. Fang Hu & Derong Luo & Chengwei Luo & Zhuo Long & Gongping Wu, 2018. "Cascaded Robust Fault-Tolerant Predictive Control for PMSM Drives," Energies, MDPI, vol. 11(11), pages 1-17, November.
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    Cited by:

    1. Hongjin Hu & Haoze Wang & Kun Liu & Jingbo Wei & Xiangjie Shen, 2022. "A Simplified Space Vector Pulse Width Modulation Algorithm of a High-Speed Permanent Magnet Synchronous Machine Drive for a Flywheel Energy Storage System," Energies, MDPI, vol. 15(11), pages 1-21, June.

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