IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i14p3855-d248636.html
   My bibliography  Save this article

Design of Takagi-Sugeno Fuzzy Control Scheme for Real World System Control

Author

Listed:
  • Chih-Hui Chiu

    (Department of Communications, Navigation and Control Engineering, National Taiwan Ocean University, No.2, Beining Rd., Jhongjheng District, Keelung City 20224, Taiwan)

  • Ya-Fu Peng

    (Department of Electrical Engineering, Chien-Hsin University, Chung-Li, Tao-Yuan 320, Taiwan)

Abstract

In this study, a novelty dual Takagi-Sugeno (TS) fuzzy control scheme (DTSFCS) is proposed for real world system control. We propose using a ball robot (BR) system control problem, where the BR has the ability to move omnidirectionally. The proposed control scheme combines two fuzzy control approaches for a BR. In this fuzzy control approach, the TS fuzzy model was adopted for the fuzzy modeling of the BR. The concept of parallel distributed compensation (PDC) was utilized to develop a fuzzy control scheme from the TS fuzzy models. The linear matrix inequalities (LMIs) can formulate sufficient conditions. Moreover, in this study, the motors of the BR were mounted on two orthogonal axes. Then, the dual TS fuzzy controller was designed to independently operate without coupling. Finally, the efficiency of the proposed control scheme is illustrated by the experimental and simulation results that are presented in this study.

Suggested Citation

  • Chih-Hui Chiu & Ya-Fu Peng, 2019. "Design of Takagi-Sugeno Fuzzy Control Scheme for Real World System Control," Sustainability, MDPI, vol. 11(14), pages 1-10, July.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:14:p:3855-:d:248636
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/14/3855/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/14/3855/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Artun Sel & Bilgehan Sel & Umit Coskun & Cosku Kasnakoglu, 2022. "SOS-Based Nonlinear Observer Design for Simultaneous State and Disturbance Estimation Designed for a PMSM Model," Sustainability, MDPI, vol. 14(17), pages 1-12, 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:jsusta:v:11:y:2019:i:14:p:3855-:d:248636. 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.