IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i23p6367-d454977.html
   My bibliography  Save this article

Simulation of a Synchronous Planar Magnetically Levitated Motion System Based on a Real-Time Analytical Force Model

Author

Listed:
  • Ruotong Peng

    (Electronic Information School, Wuhan University, Wuhan 430072, China)

  • Tong Zheng

    (Electronic Information School, Wuhan University, Wuhan 430072, China)

  • Xing Lu

    (Electronic Information School, Wuhan University, Wuhan 430072, China)

  • Xianze Xu

    (Electronic Information School, Wuhan University, Wuhan 430072, China)

  • Fengqiu Xu

    (Electronic Information School, Wuhan University, Wuhan 430072, China)

Abstract

The existing simulation method for the control of linear or planar magnetically levitated actuators always ignores the characteristics of the real physical object, which deteriorates the accuracy of the simulation. In this work, the proposed emulator for the magnetically levitated actuator is developed to consider both the force characteristics and the control algorithm. To model the real controlled object, the mathematical model for 1D (one-dimensional) and 2D (two-dimensional) magnetic arrays is derived where the yaw angle is taken into consideration using the coordinate transformation. The solution of the mathematical model is compared with the commercial BEM (boundary element method) software and the measurements from a force and torque testing setup to highlight the accuracy of the proposed mathematical model. Compared with the traditional simulation method of the motion control systems founded on the simplified system transfer function, the proposed simulation method has higher consistency and is closer to reality. The accuracy and efficiency of the proposed magnetic force model are further verified by the emulator based on the numerical force model and the testing data of the real setup.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6367-:d:454977
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/23/6367/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/23/6367/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cipek, Mihael & Pavković, Danijel & Petrić, Joško, 2013. "A control-oriented simulation model of a power-split hybrid electric vehicle," Applied Energy, Elsevier, vol. 101(C), pages 121-133.
    2. 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.
    3. Feng Xing & Baoquan Kou & Lu Zhang & Xiangrui Yin & Yiheng Zhou, 2017. "Design of a Control System for a Maglev Planar Motor Based on Two-Dimension Linear Interpolation," Energies, MDPI, vol. 10(8), pages 1-17, August.
    Full references (including those not matched with items on IDEAS)

    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. Shi, Dehua & Liu, Sheng & Cai, Yingfeng & Wang, Shaohua & Li, Haoran & Chen, Long, 2021. "Pontryagin’s minimum principle based fuzzy adaptive energy management for hybrid electric vehicle using real-time traffic information," Applied Energy, Elsevier, vol. 286(C).
    2. Danijel Pavković & Mihael Cipek & Zdenko Kljaić & Tomislav Josip Mlinarić & Mario Hrgetić & Davor Zorc, 2018. "Damping Optimum-Based Design of Control Strategy Suitable for Battery/Ultracapacitor Electric Vehicles," Energies, MDPI, vol. 11(10), pages 1-26, October.
    3. Bedatri Moulik & Dirk Söffker, 2015. "Optimal Rule-Based Power Management for Online, Real-Time Applications in HEVs with Multiple Sources and Objectives: A Review," Energies, MDPI, vol. 8(9), pages 1-15, August.
    4. Massimiliano Passalacqua & Mauro Carpita & Serge Gavin & Mario Marchesoni & Matteo Repetto & Luis Vaccaro & Sébastien Wasterlain, 2019. "Supercapacitor Storage Sizing Analysis for a Series Hybrid Vehicle," Energies, MDPI, vol. 12(9), pages 1-15, May.
    5. Matija Krznar & Petar Piljek & Denis Kotarski & Danijel Pavković, 2021. "Modeling, Control System Design and Preliminary Experimental Verification of a Hybrid Power Unit Suitable for Multirotor UAVs," Energies, MDPI, vol. 14(9), pages 1-24, May.
    6. Danijel Pavković & Mihael Cipek & Filip Plavac & Juraj Karlušić & Matija Krznar, 2022. "Internal Combustion Engine Starting and Torque Boosting Control System Design with Vibration Active Damping Features for a P0 Mild Hybrid Vehicle Configuration," Energies, MDPI, vol. 15(4), pages 1-24, February.
    7. Feng Xing & Baoquan Kou & Lu Zhang & Tiecheng Wang & Chaoning Zhang, 2018. "Analysis and Design of a Maglev Permanent Magnet Synchronous Linear Motor to Reduce Additional Torque in dq Current Control," Energies, MDPI, vol. 11(3), pages 1-15, March.
    8. Chaoying Xia & Cong Zhang, 2015. "Power Management Strategy of Hybrid Electric Vehicles Based on Quadratic Performance Index," Energies, MDPI, vol. 8(11), pages 1-16, November.
    9. Ouyang, Minggao & Zhang, Weilin & Wang, Enhua & Yang, Fuyuan & Li, Jianqiu & Li, Zhongyan & Yu, Ping & Ye, Xiao, 2015. "Performance analysis of a novel coaxial power-split hybrid powertrain using a CNG engine and supercapacitors," Applied Energy, Elsevier, vol. 157(C), pages 595-606.
    10. Shi, Dehua & Pisu, Pierluigi & Chen, Long & Wang, Shaohua & Wang, Renguang, 2016. "Control design and fuel economy investigation of power split HEV with energy regeneration of suspension," Applied Energy, Elsevier, vol. 182(C), pages 576-589.
    11. Józef Drewniak & Tomasz Kądziołka & Jacek Rysiński & Konrad Stańco, 2023. "Power Flow in Coupled Three-Row Series-Parallel Planetary Gear System, Part I: Without Power Losses," Energies, MDPI, vol. 16(21), pages 1-37, October.
    12. Hou, Cong & Ouyang, Minggao & Xu, Liangfei & Wang, Hewu, 2014. "Approximate Pontryagin’s minimum principle applied to the energy management of plug-in hybrid electric vehicles," Applied Energy, Elsevier, vol. 115(C), pages 174-189.
    13. Zhu, Wenhua H. & Zhu, Ying & Davis, Zenda & Tatarchuk, Bruce J., 2013. "Energy efficiency and capacity retention of Ni–MH batteries for storage applications," Applied Energy, Elsevier, vol. 106(C), pages 307-313.
    14. Poullikkas, Andreas, 2015. "Sustainable options for electric vehicle technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1277-1287.
    15. 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.
    16. Weiwei Yang & Jiejunyi Liang & Jue Yang & Nong Zhang, 2018. "Investigation of a Novel Coaxial Power-Split Hybrid Powertrain for Mining Trucks," Energies, MDPI, vol. 11(1), pages 1-18, January.
    17. Zhuang, Weichao & Zhang, Xiaowu & Ding, Yang & Wang, Liangmo & Hu, Xiaosong, 2016. "Comparison of multi-mode hybrid powertrains with multiple planetary gears," Applied Energy, Elsevier, vol. 178(C), pages 624-632.
    18. Cai, Y. & Ouyang, M.G. & Yang, F., 2017. "Impact of power split configurations on fuel consumption and battery degradation in plug-in hybrid electric city buses," Applied Energy, Elsevier, vol. 188(C), pages 257-269.
    19. Cipek, Mihael & Kasać, Josip & Pavković, Danijel & Zorc, Davor, 2020. "A novel cascade approach to control variables optimisation for advanced series-parallel hybrid electric vehicle power-train," Applied Energy, Elsevier, vol. 276(C).
    20. Shiyu Gan & Daniela Chrenko & Alan Kéromnès & Luis Le Moyne, 2018. "Development of a Multi-Architecture and Multi-Application Hybrid Vehicle Design and Management Tool," Energies, MDPI, vol. 11(11), pages 1-19, November.

    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:13:y:2020:i:23:p:6367-:d:454977. 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.