IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2024i1p86-d1555787.html
   My bibliography  Save this article

Active Obstacle Avoidance of Multi-Rotor UAV Swarm Based on Stress Matrix Formation Method

Author

Listed:
  • Zhenyue Qiu

    (School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin 300401, China)

  • Lei Zhang

    (School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin 300401, China)

  • Yuan Chi

    (School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin 300401, China)

  • Zequn Li

    (School of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin 300401, China)

Abstract

Aiming at the formation problem of the multi-rotor UAV swarm, this paper adopts a multi-rotor UAV swarm formation control method based on a stress matrix to ensure the stability of multi-rotor UAV swarm formation. On the basis of achieving the target formation through a stress matrix, the formation of a multi-rotor UAV swarm can be rotated, scaled, and sheared. When the obstacles are known, the multi-rotor UAV swarm can pass through the obstacle environment smoothly through rotation, scaling, and shearing transformations. However, this transformation cannot cope with the situation where the obstacles are known. This paper proposes an active obstacle avoidance function for multi-rotor UAV swarm formation based on a stress matrix. Through the detection capability of the UAV itself, the obstacle avoidance function is realized autonomously after the UAV detects an unknown obstacle. Due to the effect of a stress matrix, when the navigator performs the active obstacle avoidance function, the formation of the multi-rotor UAV swarm will be destroyed. This paper designs a virtual UAV and only retains the UAV that controls the flight trajectory of the multi-rotor UAV swarm as the only real UAV to ensure that the UAV swarm formation is not destroyed. This paper proves the stability of the multi-rotor UAV swarm formation through simulation experiments, and the multi-rotor UAV swarm can pass through the obstacle environment smoothly when facing known obstacles and unknown obstacles.

Suggested Citation

  • Zhenyue Qiu & Lei Zhang & Yuan Chi & Zequn Li, 2024. "Active Obstacle Avoidance of Multi-Rotor UAV Swarm Based on Stress Matrix Formation Method," Mathematics, MDPI, vol. 13(1), pages 1-27, December.
  • Handle: RePEc:gam:jmathe:v:13:y:2024:i:1:p:86-:d:1555787
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/1/86/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/13/1/86/
    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:jmathe:v:13:y:2024:i:1:p:86-:d:1555787. 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.