IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i17p6265-d899784.html
   My bibliography  Save this article

A Hybrid Adaptive Controller Applied for Oscillating System

Author

Listed:
  • Radoslaw Stanislawski

    (Department of Electrical Machines, Drives and Measurements, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-372 Wroclaw, Poland)

  • Jules-Raymond Tapamo

    (School of Engineering, University of KwaZulu-Natal, Durban 4041, South Africa)

  • Marcin Kaminski

    (Department of Electrical Machines, Drives and Measurements, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-372 Wroclaw, Poland)

Abstract

In this paper, a hybrid PI radial basis function neural network (RBFNN) controller is used for a plant with significant disturbances related to the mechanical part of the construction. It is represented through a two-mass system. State variables contain additional components—as a result, oscillations affect the precision of control. Classical solutions lead to movements of the poles of the whole control structure. However, proper tuning of the controller needs detailed identification of the object. In this work, the neural network is implemented to improve the classical PI controller’s performance and mitigate the errors generated by oscillations of the mechanical variables and parametric uncertainties. The proposed control strategy also guarantees the closed-loop stability of the system. The mathematical background is firstly presented. Afterward, the simulation results are shown. It can be stated that the results are very promising, and a significant improvement in oscillations damping is achieved. Finally, experimental tests are conducted to substantiate the obtained simulation results. For this purpose, the algorithm was implemented in the dSPACE card. Achieved transients confirm the numerical tests.

Suggested Citation

  • Radoslaw Stanislawski & Jules-Raymond Tapamo & Marcin Kaminski, 2022. "A Hybrid Adaptive Controller Applied for Oscillating System," Energies, MDPI, vol. 15(17), pages 1-22, August.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6265-:d:899784
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/17/6265/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/17/6265/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. El-Marhomy, Abd Alla & Abdel-Sattar, Nasar Eldin, 2004. "Stability analysis of rotor-bearing systems via Routh-Hurwitz criterion," Applied Energy, Elsevier, vol. 77(3), pages 287-308, 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. Radoslaw Stanislawski & Jules-Raymond Tapamo & Marcin Kaminski, 2023. "Virtual Signal Calculation Using Radial Neural Model Applied in a State Controller of a Two-Mass System," Energies, MDPI, vol. 16(15), pages 1-23, July.

    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:15:y:2022:i:17:p:6265-:d:899784. 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.