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Analysis and Optimization of Axial Flux Permanent Magnet Machine for Cogging Torque Reduction

Author

Listed:
  • Hina Usman

    (Electrical and Computer Engineering Department, Islamabad Campus, COMSATS University Islamabad, Islamabad 45550, Pakistan)

  • Junaid Ikram

    (Electrical and Computer Engineering Department, Islamabad Campus, COMSATS University Islamabad, Islamabad 45550, Pakistan)

  • Khurram Saleem Alimgeer

    (Electrical and Computer Engineering Department, Islamabad Campus, COMSATS University Islamabad, Islamabad 45550, Pakistan)

  • Muhammad Yousuf

    (Electrical and Computer Engineering Department, Abbottabad Campus, COMSATS University Islamabad, Islamabad 22060, Pakistan)

  • Syed Sabir Hussain Bukhari

    (Department of Electrical Engineering, Sukkur IBA University, Sukkur 65200, Pakistan
    School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06910, Korea)

  • Jong-Suk Ro

    (School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06910, Korea
    Department of Intelligent Energy and Industry, Chung-Ang University, Seoul 06910, Korea)

Abstract

In this paper, a hexagonal magnet shape is proposed to have an arc profile capable of reducing torque ripples resulting from cogging torque in a single-sided axial flux permanent magnet (AFPM) machine. The arc-shaped permanent magnet increases the air-gap length effectively and makes the flux of the air-gap more sinusoidal, which decreases air-gap flux density and hence causes a reduction in cogging torque. Cogging torque is the basic source of vibration, along with the noise in PM machines, since it is the main cause of torque ripples. Cogging torque is independent of the load current and is proportional to the air-gap flux and the reluctance variation. Three-dimensional finite element analysis (FEA) is used in the JMAG-Designer to analyze the performance of the conventional and proposed hexagonal-shaped PM AFPM machines. The proposed shape is designed to reduce cogging torque, and the voltage remains the same as compared to the conventional hexagonal-shaped PM machine. Further, optimization is performed by utilizing an asymmetric overhang. Latin hypercube sampling (LHS) is used to create samples, the kriging method is applied to approximate the model, and a genetic algorithm is applied to obtain the optimum parameters of the machine.

Suggested Citation

  • Hina Usman & Junaid Ikram & Khurram Saleem Alimgeer & Muhammad Yousuf & Syed Sabir Hussain Bukhari & Jong-Suk Ro, 2021. "Analysis and Optimization of Axial Flux Permanent Magnet Machine for Cogging Torque Reduction," Mathematics, MDPI, vol. 9(15), pages 1-14, July.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:15:p:1738-:d:600008
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    References listed on IDEAS

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    4. Xiang Luo & Shuangxia Niu, 2016. "Maximum Power Point Tracking Sensorless Control of an Axial-Flux Permanent Magnet Vernier Wind Power Generator," Energies, MDPI, vol. 9(8), pages 1-17, July.
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    Cited by:

    1. Ziaul Islam & Faisal Khan & Basharat Ullah & Ahmad H. Milyani & Abdullah Ahmed Azhari, 2022. "Design and Analysis of Three Phase Axial Flux Permanent Magnet Machine with Different PM Shapes for Electric Vehicles," Energies, MDPI, vol. 15(20), pages 1-13, October.
    2. Zia Mahmood & Junaid Ikram & Rabiah Badar & Syed Sabir Hussain Bukhari & Madad Ali Shah & Ali Asghar Memon & Mikulas Huba, 2022. "Minimization of Torque Ripples in Multi-Stack Slotted Stator Axial-Flux Synchronous Machine by Modifying Magnet Shape," Mathematics, MDPI, vol. 10(10), pages 1-16, May.

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