IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/7619086.html
   My bibliography  Save this article

Formation Control of Unmanned Surface Vehicles with Sensing Constraints Using Exponential Remapping Method

Author

Listed:
  • Jian Wang
  • Jing-Yang Liu
  • Hong Yi

Abstract

This paper presents a formation control strategy for unmanned surface vehicles (USVs) with sensing constraints moving in a leader-follower formation. Each USV is assumed to be equipped with a vision-based sensor, which is able to get the line-of-sight (LOS) range and bearing information. Most existing literature assumes that the USVs in formation control are with no sensing limitations or with 360-degree sensing fields; however, in our research, the vision-based sensor’s capability is restricted due to limited Field of View (FOV) and visual range. We consider that each USV in formation problem is equipped with a sector-like sensing field sensor for the leader-follower formation in two-dimensional space. The formation controller is developed by employing backstepping control technique and exponential remapping. The backstepping controller is designed to stabilize the triangular formation of three USVs, and the proposed exponential remapping method is to deal with the sector-like sensing constraint problem. Comparative analysis with three exponential remapping methods using numerical simulations is given to demonstrate the effectiveness of the proposed method.

Suggested Citation

  • Jian Wang & Jing-Yang Liu & Hong Yi, 2017. "Formation Control of Unmanned Surface Vehicles with Sensing Constraints Using Exponential Remapping Method," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-14, September.
  • Handle: RePEc:hin:jnlmpe:7619086
    DOI: 10.1155/2017/7619086
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2017/7619086.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2017/7619086.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2017/7619086?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
    ---><---

    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:hin:jnlmpe:7619086. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.