IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i7p2995-d1106961.html
   My bibliography  Save this article

Control Methods for Levitation System of EMS-Type Maglev Vehicles: An Overview

Author

Listed:
  • Fengxing Li

    (Institute of Rail Transit, Tongji University, Shanghai 201804, China)

  • Yougang Sun

    (Institute of Rail Transit, Tongji University, Shanghai 201804, China
    National Maglev Transportation Engineering R&D Center, Tongji University, Shanghai 201804, China)

  • Junqi Xu

    (National Maglev Transportation Engineering R&D Center, Tongji University, Shanghai 201804, China)

  • Zhenyu He

    (Institute of Rail Transit, Tongji University, Shanghai 201804, China)

  • Guobin Lin

    (Institute of Rail Transit, Tongji University, Shanghai 201804, China
    National Maglev Transportation Engineering R&D Center, Tongji University, Shanghai 201804, China)

Abstract

As new advanced vehicles, electromagnetic suspension (EMS)-type maglev trains have received wide attention because of their advantages such as high speed, no mechanical friction, low noise, low cost and energy consumption, strong climbing ability, and green environmental protection. The open-loop instability is one of the key points and difficulties for the levitation control systems of maglev trains. The closed-loop feedback control method must be applied to realize stable levitation. However, there are currently many levitation control methods just in theory. Considering their advantages and disadvantages, it is a major demand for maglev trains to select efficient, stable, applicable, and cost-saving methods to improve their dynamic performance and safety, which motivated this review. First, the current status of research on maglev trains is introduced in this paper, including types, system components, and research modes in various countries, followed by an analysis of the levitation control methods for EMS-type maglev trains. Then, the technical characteristics of the levitation control systems are described according to the basic principles of levitation systems, model building, mathematical derivation, and control objectives. Next, three kinds of typical levitation control methods are reviewed, namely, linear state feedback methods, nonlinear control methods, and intelligent control methods, according to their improvements and applications. Lastly, we summarize and evaluate the advantages and disadvantages of the three methods, and future developments of levitation control are suggested.

Suggested Citation

  • Fengxing Li & Yougang Sun & Junqi Xu & Zhenyu He & Guobin Lin, 2023. "Control Methods for Levitation System of EMS-Type Maglev Vehicles: An Overview," Energies, MDPI, vol. 16(7), pages 1-26, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:2995-:d:1106961
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/7/2995/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/7/2995/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sang-Young Oh & Ho-Lim Choi, 2018. "Robust approximate feedback linearisation control for nonlinear systems with uncertain parameters and external disturbance: its application to an electromagnetic levitation system," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(12), pages 2695-2703, September.
    2. Junxiong Hu & Weihua Ma & Xiaohao Chen & Shihui Luo, 2020. "Levitation Stability and Hopf Bifurcation of EMS Maglev Trains," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-12, April.
    3. Aming Hao & Xiaolong Li & Longhua She, 2013. "Adaptive Control of Electromagnetic Suspension System by HOPF Bifurcation," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-5, November.
    4. Rahul Sanmugam Gopi & Soundarya Srinivasan & Kavitha Panneerselvam & Yuvaraja Teekaraman & Ramya Kuppusamy & Shabana Urooj, 2021. "Enhanced Model Reference Adaptive Control Scheme for Tracking Control of Magnetic Levitation System," Energies, MDPI, vol. 14(5), pages 1-13, March.
    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. Neelamsetti Kirn Kumar & Rahul Sanmugam Gopi & Ramya Kuppusamy & Srete Nikolovski & Yuvaraja Teekaraman & Indragandhi Vairavasundaram & Siripireddy Venkateswarulu, 2022. "Fuzzy Logic-Based Load Frequency Control in an Island Hybrid Power System Model Using Artificial Bee Colony Optimization," Energies, MDPI, vol. 15(6), pages 1-20, March.

    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:16:y:2023:i:7:p:2995-:d:1106961. 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.