IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v50y2019i11p2216-2225.html
   My bibliography  Save this article

A GESO based MPC approach to contour error control of networked motion control system

Author

Listed:
  • Yao-Wei Wang
  • Wen-An Zhang
  • Hui Dong
  • Li Yu

Abstract

This paper presents a generalised extended state observer (GESO) based model predictive control (MPC) approach to contour error control for networked multi-axis motion system (NMAMS) with network-induced delays. First, the uncertainties induced by the network-induced delays are modelled as an additive bounded disturbance, and a novel model predictive controller based on the GESO is designed for the uniaxial trajectory tracking control system. The GESO is used to estimate the system state and the disturbance simultaneously, and the effects of the uncertainties induced by the delays are eliminated by the proposed GESO based controller. Then the contour error estimation method is adopted, and a PID controller is designed to compensate the contour error. Finally, experiments are carried out to demonstrate the effectiveness of the proposed method.

Suggested Citation

  • Yao-Wei Wang & Wen-An Zhang & Hui Dong & Li Yu, 2019. "A GESO based MPC approach to contour error control of networked motion control system," International Journal of Systems Science, Taylor & Francis Journals, vol. 50(11), pages 2216-2225, August.
    • Handle: RePEc:taf:tsysxx:v:50:y:2019:i:11:p:2216-2225
    DOI: 10.1080/00207721.2019.1648705
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2019.1648705
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207721.2019.1648705?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    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:taf:tsysxx:v:50:y:2019:i:11:p:2216-2225. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TSYS20 .

    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.