As the latest form of UAV intelligence, UAV swarms have gradually become a new development direction. In this paper, we explore the autonomy problems faced by UAV swarms in the process of movement. Firstly, a distributed movement based on bee swarms is established. Secondly, it integrates the theory of potential energy field to complete the formation and maintenance of the cluster in the complex environment. The simulation results show that the UAV swarm can realize the team maintenance and obstacle avoidance of the swarm based on the fusion of the swarm constraint and the potential energy field.
Research of UAV Cluster Motion Based on Swarm and Artifical Potential Field Fusion Algorithm
Lect. Notes Electrical Eng.
International Conference on Guidance, Navigation and Control ; 2022 ; Harbin, China August 05, 2022 - August 07, 2022
2023-01-31
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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