IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i4p493-d95138.html
   My bibliography  Save this article

Analytical Calculation of the Magnetic Field Distribution in a Linear and Rotary Machine with an Orthogonally Arrayed Permanent Magnet

Author

Listed:
  • Lei Xu

    (Engineering Research Center for Motion Control of Ministry of Education, Southeast University, Nanjing 210096, China)

  • Mingyao Lin

    (Engineering Research Center for Motion Control of Ministry of Education, Southeast University, Nanjing 210096, China)

  • Xinghe Fu

    (Engineering Research Center for Motion Control of Ministry of Education, Southeast University, Nanjing 210096, China)

  • Kai Liu

    (Engineering Research Center for Motion Control of Ministry of Education, Southeast University, Nanjing 210096, China)

  • Baocheng Guo

    (Engineering Research Center for Motion Control of Ministry of Education, Southeast University, Nanjing 210096, China)

Abstract

In this paper, an analytical model is proposed to analyze and predict the characteristics of a double stator linear and rotary permanent magnet machine (DSLRPMM). In order to simplify the magnetic field calculation, the DSLRPMM is cut along the axial direction ( z direction) and transferred into a planar one. Hence, an analytical model of the machine considered the orthogonal effect (OE) is proposed based on the combined solution of Maxwell’s equation, conformal mapping, and equivalent magnetic circuit model (EMCM). The magnetic field distributions of the DSLRPMM are calculated with and without considering the OE, and some important electromagnetic parameters, including the back electromotive force (EMF), detent force, cogging torque, and output torque and thrust, are also predicted and compared to the 3D finite element analysis (FEA). The results show that the errors between the proposed analytical model and the 3D FEA results are less than 0.2% and even less than 0.1% for certain parameters, that is, the results obtained from the proposed analytical model agree well with that of the FEA. Moreover, the analyzed and predicted results are also verified by the experimental results on the prototype of the DSLRPMM.

Suggested Citation

  • Lei Xu & Mingyao Lin & Xinghe Fu & Kai Liu & Baocheng Guo, 2017. "Analytical Calculation of the Magnetic Field Distribution in a Linear and Rotary Machine with an Orthogonally Arrayed Permanent Magnet," Energies, MDPI, vol. 10(4), pages 1-18, April.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:4:p:493-:d:95138
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/4/493/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/4/493/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chengde Tong & Zhiyi Song & Jingang Bai & Jiaqi Liu & Ping Zheng, 2016. "Analytical Investigation of the Magnetic-Field Distribution in an Axial Magnetic-Field-Modulated Brushless Double-Rotor Machine," Energies, MDPI, vol. 9(8), pages 1-23, July.
    2. Ping Zheng & Qian Wu & Jing Zhao & Chengde Tong & Jingang Bai & Quanbin Zhao, 2012. "Performance Analysis and Simulation of a Novel Brushless Double Rotor Machine for Power-Split HEV Applications," Energies, MDPI, vol. 5(1), pages 1-19, January.
    3. Yunkai Huang & Baocheng Guo & Ahmed Hemeida & Peter Sergeant, 2016. "Analytical Modeling of Static Eccentricities in Axial Flux Permanent-Magnet Machines with Concentrated Windings," Energies, MDPI, vol. 9(11), pages 1-19, October.
    4. Yanjun Yu & Weiyu Zhang & Yuxin Sun & Peifeng Xu, 2016. "Basic Characteristics and Design of a Novel Hybrid Magnetic Bearing for Wind Turbines," Energies, MDPI, vol. 9(11), pages 1-17, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. J. F. Pan & Weiyu Wang & Bo Zhang & Eric Cheng & Jianping Yuan & Li Qiu & Xiaoyu Wu, 2017. "Complimentary Force Allocation Control for a Dual-Mover Linear Switched Reluctance Machine," Energies, MDPI, vol. 11(1), pages 1-17, December.
    2. Ruotong Peng & Tong Zheng & Xing Lu & Xianze Xu & Fengqiu Xu, 2020. "Simulation of a Synchronous Planar Magnetically Levitated Motion System Based on a Real-Time Analytical Force Model," Energies, MDPI, vol. 13(23), pages 1-16, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alireza Rasekh & Peter Sergeant & Jan Vierendeels, 2016. "Development of Correlations for Windage Power Losses Modeling in an Axial Flux Permanent Magnet Synchronous Machine with Geometrical Features of the Magnets," Energies, MDPI, vol. 9(12), pages 1-17, November.
    2. Feng Chai & Yunlong Bi & Yulong Pei, 2017. "Magnet Shape Optimization of Two-Layer Spoke-Type Axial Flux Interior Permanent Magnet Machines," Energies, MDPI, vol. 11(1), pages 1-14, December.
    3. Alexandra C. Barmpatza & Joya C. Kappatou, 2020. "Study of a Combined Demagnetization and Eccentricity Fault in an AFPM Synchronous Generator," Energies, MDPI, vol. 13(21), pages 1-17, October.
    4. Manje Yea & Ki Jin Han, 2020. "Modified Slot Opening for Reducing Shaft-to-Frame Voltage of AC Motors," Energies, MDPI, vol. 13(3), pages 1-9, February.
    5. Chunhua Liu & K. T. Chau, 2014. "Electromagnetic Design of a New Electrically Controlled Magnetic Variable-Speed Gearing Machine," Energies, MDPI, vol. 7(3), pages 1-16, March.
    6. Rundong Huang & Chunhua Liu & Zaixin Song & Hang Zhao, 2021. "Design and Analysis of a Novel Axial-Radial Flux Permanent Magnet Machine with Halbach-Array Permanent Magnets," Energies, MDPI, vol. 14(12), pages 1-17, June.
    7. Zan He & Tong Wen & Xu Liu & Yuchen Suo, 2022. "Loss Estimation and Thermal Analysis of a Magnetic Levitation Reaction Flywheel with PMB and AMB for Satellite Application," Energies, MDPI, vol. 15(4), pages 1-20, February.
    8. Mei Su & Weiyu Jin & Guanguan Zhang & Weiyi Tang & Frede Blaabjerg, 2018. "Internal Model Current Control of Brushless Doubly Fed Induction Machines," Energies, MDPI, vol. 11(7), pages 1-19, July.
    9. Ping Zheng & Qian Wu & Jingang Bai & Chengde Tong & Zhiyi Song, 2013. "Analysis and Experiment of a Novel Brushless Double Rotor Machine for Power-Split Hybrid Electrical Vehicle Applications," Energies, MDPI, vol. 6(7), pages 1-15, July.
    10. Xianglin Li & Yingjie Tan & Bo Yan & Yujian Zhao & Hao Wang, 2023. "Demagnetization Modeling and Analysis for a Six-Phase Surface-Mounted Field-Modulated Permanent-Magnet Machine Based on Equivalent Magnetic Network," Energies, MDPI, vol. 16(16), pages 1-19, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:10:y:2017:i:4:p:493-:d:95138. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.