IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i2p1239-d1029995.html
   My bibliography  Save this article

High-Order Sliding Mode Magnetometer for Excitation Fault Detection of Elevator Traction Synchronous Motor under the Background of Industrial Engineering

Author

Listed:
  • Peng Shao

    (Hangzhou Special Equipment Inspection and Research Institute, Zhejiang University, Hangzhou 310027, China)

  • Xiaozhou Tang

    (Hangzhou Special Equipment Inspection and Research Institute, Zhejiang University, Hangzhou 310027, China)

  • Bo Zheng

    (Hangzhou Special Equipment Inspection and Research Institute, Zhejiang University, Hangzhou 310027, China)

  • Dongyang Li

    (Hangzhou Special Equipment Inspection and Research Institute, Zhejiang University, Hangzhou 310027, China)

  • Shu Chen

    (Hangzhou Special Equipment Inspection and Research Institute, Zhejiang University, Hangzhou 310027, China)

  • Huipin Lin

    (Hangzhou Special Equipment Inspection and Research Institute, Zhejiang University, Hangzhou 310027, China)

Abstract

In order to solve the excitation problem of elevator traction permanent magnet synchronous motors (PMSMs), a new high-order sliding mode flux observer based on a hybrid reaching rate is proposed under the background of industrial engineering to detect loss of excitation faults in real time. Firstly, a new high-order sliding mode flux observer is designed to solve the problem of the traditional sliding mode observer not being able to accurately detect the loss of excitation fault when the load resistance changes. Then, based on the sliding mode variable structure equivalent control principle, a PMSM flux estimation formula is established. The sinusoidal input function replaces the traditional symbolic process, and a mixed approach law is designed to replace the constant speed approach rate. The adaptive adjustment of the boundary layer of the sinusoidal input function is realized through a fuzzy control system, which effectively suppresses the chattering problem caused by the sliding mode variable structure and improves the observation accuracy of rotor position. The stability of the system is verified by Lyapunov’s second method. MATLAB/Simulink is used to build the simulation model of the PMSM control system with the new sliding mode observer, and the simulation results are compared with those of a traditional sliding mode observer. The results show that compared with the conventional observer, the new sliding mode observer can track the rotor position quickly, and the system has better anti-interference abilities and stability. Finally, the feasibility and effectiveness of this method are verified via simulations and experiments.

Suggested Citation

  • Peng Shao & Xiaozhou Tang & Bo Zheng & Dongyang Li & Shu Chen & Huipin Lin, 2023. "High-Order Sliding Mode Magnetometer for Excitation Fault Detection of Elevator Traction Synchronous Motor under the Background of Industrial Engineering," Sustainability, MDPI, vol. 15(2), pages 1-16, January.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1239-:d:1029995
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/2/1239/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/2/1239/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Meghnous, A.R. & Pham, M.T. & Lin-Shi, X., 2013. "Dynamic identification of a synchronous machine using an extended sliding mode observer," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 90(C), pages 45-59.
    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.

      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:jsusta:v:15:y:2023:i:2:p:1239-:d:1029995. 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.