IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i16p4199-d398881.html
   My bibliography  Save this article

Sliding Mode Self-Sensing Control of Synchronous Machine Using Super Twisting Interconnected Observers

Author

Listed:
  • Mohamed R. Kafi

    (Laboratoire de Génie Electrique, University Kasdi Merbah Ouargla, Ouargla 30000, Algeria)

  • Mohamed A. Hamida

    (Ecole Centrale de Nantes, LS2N UMR CNRS 6004, 44200 Nantes, France)

  • Hicham Chaoui

    (Intelligent Robotic and Energy Systems (IRES), Department of Electronics, Carleton University, 1125 Colonel By Dr, Ottawa, ON K1S 5B6, Canada)

  • Rabie Belkacemi

    (Center for Energy Systems Research, Tennessee Technological University, Cookeville, TN 38505, USA)

Abstract

The aim of this study is to propose a self-sensing control of internal permanent-magnet synchronous machines (IPMSMs) based on new high order sliding mode approaches. The high order sliding mode control will be combined with the backstepping strategy to achieve global or semi global attraction and ensure finite time convergence. The proposed control strategy should be able to reject the unmatched perturbations and reject the external perturbation. On the other hand, the super-twisting algorithm will be combined with the interconnected observer methodology to propose the multi-input–multi-output observer. This observer will be used to estimate the rotor position, the rotor speed and the stator resistance. The proposed controller and observer ensure the finite-time convergence to the desired reference and measured state, respectively. The obtained results confirm the effectiveness of the suggested method in the presence of parametric uncertainties and unmeasured load torque at various speed ranges.

Suggested Citation

  • Mohamed R. Kafi & Mohamed A. Hamida & Hicham Chaoui & Rabie Belkacemi, 2020. "Sliding Mode Self-Sensing Control of Synchronous Machine Using Super Twisting Interconnected Observers," Energies, MDPI, vol. 13(16), pages 1-19, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:16:p:4199-:d:398881
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/16/4199/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/16/4199/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Peter Stumpf & Tamás Tóth-Katona, 2023. "Recent Achievements in the Control of Interior Permanent-Magnet Synchronous Machine Drives: A Comprehensive Overview of the State of the Art," Energies, MDPI, vol. 16(13), pages 1-46, July.
    2. Habib Benbouhenni & Nicu Bizon, 2021. "Third-Order Sliding Mode Applied to the Direct Field-Oriented Control of the Asynchronous Generator for Variable-Speed Contra-Rotating Wind Turbine Generation Systems," Energies, MDPI, vol. 14(18), pages 1-20, September.

    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:16:p:4199-:d:398881. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.