IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i10p2750-d175540.html
   My bibliography  Save this article

Improved Adaptive Backstepping Sliding Mode Control of Static Var Compensator

Author

Listed:
  • Qingyu Su

    (School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Fei Dong

    (School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Xueqiang Shen

    (School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China)

Abstract

The stability of a single machine infinite bus system with a static var compensator is proposed by an improved adaptive backstepping algorithm, which includes error compensation, sliding mode control and a κ -class function. First, storage functions of the control system are constructed based on modified adaptive backstepping sliding mode control and Lyapunov methods. Then, adaptive backstepping method is used to obtain nonlinear controller and parameter adaptation rate for static var compensator system. The results of simulation show that the improved adaptive backstepping sliding mode variable control based on error compensation is effective. Finally, we get a conclusion that the improved method differs from the traditional adaptive backstepping method. The improved adaptive backstepping sliding mode variable control based on error compensation method preserves effective non-linearities and real-time estimation of parameters, and this method provides effective stability and convergence.

Suggested Citation

  • Qingyu Su & Fei Dong & Xueqiang Shen, 2018. "Improved Adaptive Backstepping Sliding Mode Control of Static Var Compensator," Energies, MDPI, vol. 11(10), pages 1-12, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2750-:d:175540
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/10/2750/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/10/2750/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ll Yi-Min & Yue Yang & Li Li, 2012. "Adaptive Backstepping Fuzzy Control Based on Type-2 Fuzzy System," Journal of Applied Mathematics, Hindawi, vol. 2012, pages 1-27, March.
    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. Anastasios Dounis, 2019. "Special Issue “Intelligent Control in Energy Systems”," Energies, MDPI, vol. 12(15), pages 1-9, August.
    2. Chujia Guo & Aimin Zhang & Hang Zhang & Lei Zhang, 2018. "Adaptive Backstepping Control with Online Parameter Estimator for a Plug-and-Play Parallel Converter System in a Power Switcher," Energies, MDPI, vol. 11(12), pages 1-18, 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.

      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:11:y:2018:i:10:p:2750-:d:175540. 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.