IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i22p7802-d684770.html
   My bibliography  Save this article

Direct Fuzzy CMAC Sliding Mode Trajectory Tracking for Biaxial Position System

Author

Listed:
  • Wei-Lung Mao

    (Department of Electrical Engineering, Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou 64002, Taiwan)

  • Yu-Ying Chiu

    (Department of Electrical Engineering, Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou 64002, Taiwan)

  • Bing-Hong Lin

    (Department of Electrical Engineering, Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou 64002, Taiwan)

  • Wei-Cheng Sun

    (Department of Electrical Engineering, Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou 64002, Taiwan)

  • Jian-Fu Tang

    (Department of Electro-Optical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan)

Abstract

High-precision trajectory control is considered as an important factor in the performance of industrial two-axis contour motion systems. This research presents an adaptive direct fuzzy cerebellar model articulation controller (CMAC) sliding mode control (DFCMACSMC) for the precise control of the industrial XY-axis motion system. The FCMAC was utilized to approximate an ideal controller, and the weights of FCMAC were on-line tuned by the derived adaptive law based on the Lyapunov criterion. With this derivation in mind, the asymptotic stability of the developed motion system could be guaranteed. The two-axis stage system was experimentally investigated using four contours, namely, circle, bowknot, heart, and star reference contours. The experimental results indicate that the proposed DFCMACSMC method achieved the improved tracking capability, and so reveal that the DFCMACSMC scheme outperformed other schemes of the model uncertainties and cross-coupling interference.

Suggested Citation

  • Wei-Lung Mao & Yu-Ying Chiu & Bing-Hong Lin & Wei-Cheng Sun & Jian-Fu Tang, 2021. "Direct Fuzzy CMAC Sliding Mode Trajectory Tracking for Biaxial Position System," Energies, MDPI, vol. 14(22), pages 1-16, November.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7802-:d:684770
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/22/7802/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/22/7802/
    Download Restriction: no
    ---><---

    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:14:y:2021:i:22:p:7802-:d:684770. 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.