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Analysis and Speed Ripple Mitigation of a Space Vector Pulse Width Modulation-Based Permanent Magnet Synchronous Motor with a Particle Swarm Optimization Algorithm

Author

Listed:
  • Xing Liu

    () (State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Jinhua Du

    () (State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Deliang Liang

    () (State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

Abstract

A method is proposed for reducing speed ripple of permanent magnet synchronous motors (PMSMs) controlled by space vector pulse width modulation (SVPWM). A flux graph and mathematics are used to analyze the speed ripple characteristics of the PMSM. Analysis indicates that the 6P (P refers to pole pairs of the PMSM) time harmonic of rotor mechanical speed is the main harmonic component in the SVPWM control PMSM system. To reduce PMSM speed ripple, harmonics are superposed on a SVPWM reference signal. A particle swarm optimization (PSO) algorithm is proposed to determine the optimal phase and multiplier coefficient of the superposed harmonics. The results of a Fourier decomposition and an optimized simulation model verified the accuracy of the analysis as well as the effectiveness of the speed ripple reduction methods, respectively.

Suggested Citation

  • Xing Liu & Jinhua Du & Deliang Liang, 2016. "Analysis and Speed Ripple Mitigation of a Space Vector Pulse Width Modulation-Based Permanent Magnet Synchronous Motor with a Particle Swarm Optimization Algorithm," Energies, MDPI, Open Access Journal, vol. 9(11), pages 1-15, November.
  • Handle: RePEc:gam:jeners:v:9:y:2016:i:11:p:923-:d:82415
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    References listed on IDEAS

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    1. repec:gam:jeners:v:9:y:2016:i:5:p:343:d:69526 is not listed on IDEAS
    2. Min-Liang Huang, 2016. "Hybridization of Chaotic Quantum Particle Swarm Optimization with SVR in Electric Demand Forecasting," Energies, MDPI, Open Access Journal, vol. 9(6), pages 1-16, May.
    3. Xiangdong Liu & Zhongxin Gu & Jing Zhao, 2016. "Torque Ripple Reduction of a Novel Modular Arc-Linear Flux-Switching Permanent-Magnet Motor with Rotor Step Skewing," Energies, MDPI, Open Access Journal, vol. 9(6), pages 1-17, May.
    4. Jing Zhao & Bin Li & Zhongxin Gu, 2015. "Research on an Axial Flux PMSM with Radially Sliding Permanent Magnets," Energies, MDPI, Open Access Journal, vol. 8(3), pages 1-22, February.
    5. Yumeng Li & Jing Zhao & Zhen Chen & Xiangdong Liu, 2014. "Investigation of a Five-Phase Dual-Rotor Permanent Magnet Synchronous Motor Used for Electric Vehicles," Energies, MDPI, Open Access Journal, vol. 7(6), pages 1-30, June.
    6. Li-Ling Peng & Guo-Feng Fan & Min-Liang Huang & Wei-Chiang Hong, 2016. "Hybridizing DEMD and Quantum PSO with SVR in Electric Load Forecasting," Energies, MDPI, Open Access Journal, vol. 9(3), pages 1-20, March.
    7. repec:gam:jeners:v:9:y:2016:i:3:p:221:d:66131 is not listed on IDEAS
    8. Yancai Xiao & Tieling Zhang & Zeyu Ding & Chunya Li, 2016. "The Study of Fuzzy Proportional Integral Controllers Based on Improved Particle Swarm Optimization for Permanent Magnet Direct Drive Wind Turbine Converters," Energies, MDPI, Open Access Journal, vol. 9(5), pages 1-17, May.
    9. Chun-Yu Hsiao & Sheng-Nian Yeh & Jonq-Chin Hwang, 2011. "A Novel Cogging Torque Simulation Method for Permanent-Magnet Synchronous Machines," Energies, MDPI, Open Access Journal, vol. 4(12), pages 1-14, December.
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    Citations

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    Cited by:

    1. Zhen Tian & Chengning Zhang & Shuo Zhang, 2017. "Analytical Calculation of Magnetic Field Distribution and Stator Iron Losses for Surface-Mounted Permanent Magnet Synchronous Machines," Energies, MDPI, Open Access Journal, vol. 10(3), pages 1-12, March.
    2. repec:gam:jeners:v:11:y:2018:i:10:p:2554-:d:171961 is not listed on IDEAS
    3. repec:gam:jeners:v:10:y:2017:i:11:p:1716-:d:116460 is not listed on IDEAS
    4. repec:gam:jeners:v:10:y:2017:i:9:p:1387-:d:111724 is not listed on IDEAS
    5. repec:gam:jeners:v:10:y:2017:i:10:p:1509-:d:113537 is not listed on IDEAS
    6. repec:gam:jeners:v:10:y:2017:i:4:p:551-:d:96014 is not listed on IDEAS

    More about this item

    Keywords

    speed ripple reduction; harmonic superposition; particle swarm optimization (PSO);

    JEL classification:

    • Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q49 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Other

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