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A Comprehensive Performance Comparison between Segmental and Conventional Switched Reluctance Machines with Boost and Standard Converters

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  • Yuanfeng Lan

    (MOBI-EPOWERS Research Group, ETEC Department, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussels, Belgium
    Flanders Make, Gaston Geenslaan 8, 3001 Heverlee, Belgium)

  • Julien Croonen

    (MOBI-EPOWERS Research Group, ETEC Department, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussels, Belgium
    Flanders Make, Gaston Geenslaan 8, 3001 Heverlee, Belgium)

  • Mohamed Amine Frikha

    (MOBI-EPOWERS Research Group, ETEC Department, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussels, Belgium
    Flanders Make, Gaston Geenslaan 8, 3001 Heverlee, Belgium)

  • Mohamed El Baghdadi

    (MOBI-EPOWERS Research Group, ETEC Department, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussels, Belgium
    Flanders Make, Gaston Geenslaan 8, 3001 Heverlee, Belgium)

  • Omar Hegazy

    (MOBI-EPOWERS Research Group, ETEC Department, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussels, Belgium
    Flanders Make, Gaston Geenslaan 8, 3001 Heverlee, Belgium)

Abstract

This paper presents the comparisons between two types of switched reluctance machines (SRMs) and SRM converters. An SRM with a segmental rotor is compared with a conventional SRM (CSRM), and an SRM converter containing a passive boost circuit is compared with a conventional asymmetric half-bridge (AHB) converter. The segmental SRM has an asymmetric rotor with a segmented structure. The four rotor segments are made of steel laminations. Two segments are misaligned with the other two by 15 degrees. The torque ripple of the SRM with this structure is decreased, and the static torque is increased compared to a conventional SRM. The boost converter comprises a front-end circuit and a conventional AHB converter. The front-end circuit boosts the voltage level. The boosted voltage accelerates the rising and falling progress of the phase current. In this way, the SRM can obtain a greater speed and a smaller torque ripple. The comparison is conducted in simulation and validated through the experimental results. The experiment results have demonstrated that the segmental SRM obtains a maximum 7% torque ripple reduction at a low-speed range, compared to the CSRM. With the boost converter, both the CSRM and the segmental SRM can achieve a lower torque ripple and a higher maximum speed.

Suggested Citation

  • Yuanfeng Lan & Julien Croonen & Mohamed Amine Frikha & Mohamed El Baghdadi & Omar Hegazy, 2022. "A Comprehensive Performance Comparison between Segmental and Conventional Switched Reluctance Machines with Boost and Standard Converters," Energies, MDPI, vol. 16(1), pages 1-18, December.
    • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:43-:d:1009698
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    References listed on IDEAS

    as
    1. Yuanfeng Lan & Mohamed Amine Frikha & Julien Croonen & Yassine Benômar & Mohamed El Baghdadi & Omar Hegazy, 2022. "Design Optimization of a Switched Reluctance Machine with an Improved Segmental Rotor for Electric Vehicle Applications," Energies, MDPI, vol. 15(16), pages 1-16, August.
    2. Vitor Fernão Pires & Armando José Pires & Armando Cordeiro & Daniel Foito, 2020. "A Review of the Power Converter Interfaces for Switched Reluctance Machines," Energies, MDPI, vol. 13(13), pages 1-34, July.
    3. Xiaoshu Zan & Ning Wu & Ruidong Xu & Mingliang Cui & Zhikai Jiang & Kai Ni & Mohammed Alkahtani, 2019. "Design and Analysis of a Novel Converter Topology for Photovoltaic Pumps Based on Switched Reluctance Motor," Energies, MDPI, vol. 12(13), pages 1-17, July.
    4. Wu, Jinming & Qin, Liuzhen & Chen, Ni & Qian, Chen & Zheng, Siming, 2022. "Investigation on a spring-integrated mechanical power take-off system for wave energy conversion purpose," Energy, Elsevier, vol. 245(C).
    5. Jorge Torres & Pablo Moreno-Torres & Gustavo Navarro & Marcos Blanco & Jorge Nájera & Miguel Santos-Herran & Marcos Lafoz, 2021. "Asymmetrical Rotor Skewing Optimization in Switched Reluctance Machines Using Differential Evolutionary Algorithm," Energies, MDPI, vol. 14(11), pages 1-25, May.
    6. Yuanfeng Lan & Yassine Benomar & Kritika Deepak & Ahmet Aksoz & Mohamed El Baghdadi & Emine Bostanci & Omar Hegazy, 2021. "Switched Reluctance Motors and Drive Systems for Electric Vehicle Powertrains: State of the Art Analysis and Future Trends," Energies, MDPI, vol. 14(8), pages 1-29, April.
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