IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i19p4786-d1485147.html
   My bibliography  Save this article

A Novel PI-Based Control Structure with Additional Feedback from Torsional Torque and Its Derivative for Damping Torsional Vibrations

Author

Listed:
  • Piotr Derugo

    (Faculty of Electrical Engineering, Wrocław University of Science and Technology, PL50370 Wrocław, Poland)

  • Amanuel Haftu Kahsay

    (Faculty of Electrical Engineering, Wrocław University of Science and Technology, PL50370 Wrocław, Poland)

  • Krzysztof Szabat

    (Faculty of Electrical Engineering, Wrocław University of Science and Technology, PL50370 Wrocław, Poland
    Department of System Design Engineering, Keio University, Yokohama 223-8522, Japan)

  • Kosuke Shikata

    (Department of System Design Engineering, Keio University, Yokohama 223-8522, Japan)

  • Seiichiro Katsura

    (Department of System Design Engineering, Keio University, Yokohama 223-8522, Japan)

Abstract

This paper presents issues related to the damping of torsional vibrations in a system with elastic coupling. A novel PI-based control structure with additional feedback from torsional torque and its derivative is proposed. For the estimation of the required variables, the integral observer is proposed. Analytical expressions are presented to enable the selection of parameters of the control system. The relationship between the considered system and popular structures with a PI controller and one additional feedback from torsional torque and the derivative of torsional torque is pointed out. The proposed control structure is tested under simulation and experimental studies.

Suggested Citation

  • Piotr Derugo & Amanuel Haftu Kahsay & Krzysztof Szabat & Kosuke Shikata & Seiichiro Katsura, 2024. "A Novel PI-Based Control Structure with Additional Feedback from Torsional Torque and Its Derivative for Damping Torsional Vibrations," Energies, MDPI, vol. 17(19), pages 1-18, September.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:19:p:4786-:d:1485147
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/19/4786/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/19/4786/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Viktor Šlapák & Karol Kyslan & Milan Lacko & Viliam Fedák & František Ďurovský, 2016. "Finite Control Set Model Predictive Speed Control of a DC Motor," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-10, August.
    2. 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.
    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. Mateusz Malarczyk & Seiichiro Katsura & Marcin Kaminski & Krzysztof Szabat, 2024. "A Novel Meta-Heuristic Algorithm Based on Birch Succession in the Optimization of an Electric Drive with a Flexible Shaft," Energies, MDPI, vol. 17(16), pages 1-34, August.

    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:17:y:2024:i:19:p:4786-:d:1485147. 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.