In this letter, we focus on the problem of the movement of aerial robot swarms, and how to achieve coordinated and consistent flight of drone swarms in unfamiliar environments. Inspired by the behavior of biological swarms, a distributed and adaptive swarm flight algorithm is designed by adding a physical model to the starling swarm collaboration algorithm. The algorithm makes the whole cluster have excellent environmental adaptability and cluster scalability by formulating different behaviors of UAVs. And the algorithm of this paper is used to simulate the behavior of UAV swarms to achieve simple goals in a three-dimensional environment. The results show that the algorithm is reliable and effective in UAV swarm control.
An Optimized Flocking Starling Algorithm for Autonomous Drones
Lect. Notes Electrical Eng.
International Conference on Autonomous Unmanned Systems ; 2022 ; Xi'an, China September 23, 2022 - September 25, 2022
Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022) ; Kapitel : 327 ; 3548-3555
2023-03-10
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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