IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i20p3293-d1502797.html
   My bibliography  Save this article

Performance Optimization with LPV Synthesis for Disturbance Attenuation in Planar Motors

Author

Listed:
  • Khac Huan Su

    (Department of Control and Automation Engineering, Eastern International University, Thu Dau Mot 820000, Vietnam
    These authors contributed equally to this work.)

  • Keunhoon Park

    (Department of Electrical Engineering, Hanyang University, Seoul 13391, Republic of Korea
    These authors contributed equally to this work.)

  • Young Seop Son

    (Graduate School of Data Science, Kyungpook National University, Daegu 41566, Republic of Korea)

  • Youngwoo Lee

    (School of Electrical Engineering, Hanyang University, Ansan 15588, Republic of Korea)

Abstract

Optimizing the performance of motion control systems with variations in nonlinear parameters is not an easy task. To accomplish this task, it is important to design the controller using the linear system approach. In this study, a linear parameter varying (LPV) control method is proposed in which nonlinearities are treated as parameter variations for planar motors. The proposed control method consists of the force and torque modulation with the commutation scheme and the nonlinear current controller with H ∞ state feedback control in the form of LPV synthesis to improve the position-tracking performance. An interpolated gain-scheduling controller based on LPV synthesis is determined by applying H ∞ control to a linear matrix inequality technique. An interpolated gain-scheduling controller can attenuate disturbance without disturbance estimation. The effectiveness of the proposed control method is evaluated using simulation results and compared with the conventional proportional–integral–derivative control to verify both improved position-tracking performance and disturbance attenuation.

Suggested Citation

  • Khac Huan Su & Keunhoon Park & Young Seop Son & Youngwoo Lee, 2024. "Performance Optimization with LPV Synthesis for Disturbance Attenuation in Planar Motors," Mathematics, MDPI, vol. 12(20), pages 1-25, October.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:20:p:3293-:d:1502797
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/20/3293/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/12/20/3293/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Khac Huan Su & Jaeyun Yim & Wonhee Kim & Youngwoo Lee, 2022. "Lyapunov-Based Controller Using Nonlinear Observer for Planar Motors," Mathematics, MDPI, vol. 10(13), pages 1-18, June.
    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:jmathe:v:12:y:2024:i:20:p:3293-:d:1502797. 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.