Distributed UAV swarm control framework with limited interaction for obstacle avoidance
Aircraft Engineering and Aerospace Technology
ISSN: 0002-2667
Article publication date: 2 December 2022
Issue publication date: 27 March 2023
Abstract
Purpose
The purpose of this paper is to propose a distributed unmanned aerial vehicle (UAV) swarm control method to ensure safety and obstacle avoidance during swarm flight and realize effective guidance.
Design/methodology/approach
This paper proposes a distributed UAV swarm control framework with limited interaction. UAVs in the swarm realize the selection of limited interactive neighbors according to the random line of sight and limited field of view. The designed interaction force and obstacle avoidance mechanism are combined to ensure the safety of UAVs and avoid collisions and obstacles. Informed UAVs are deployed to guide the swarm to move in the desired direction.
Findings
The proposed distributed swarm control framework achieves high safety of swarm motion and the participation of informed UAVs is conducive to the guidance of the UAV swarm. Simulation results demonstrate the feasibility and effectiveness of the proposed approach.
Practical implications
The UAV swarm control method developed in this paper can be applied to the practice of UAV swarm control.
Originality/value
A distributed UAV swarm control method is proposed to ensure the effective control of the consistency and safety of swarm motion.
Keywords
Acknowledgements
This work was partially supported by Science and Technology Innovation 2030-Key Project of “New Generation Artificial Intelligence” under Grant No. 2018AAA0100803, and National Natural Science Foundation of China under Grant Nos. 91948204, U20B2071, T2121003 and U1913602.
Citation
Zhu, B. and Deng, Y. (2023), "Distributed UAV swarm control framework with limited interaction for obstacle avoidance", Aircraft Engineering and Aerospace Technology, Vol. 95 No. 5, pp. 697-705. https://doi.org/10.1108/AEAT-04-2022-0099
Publisher
:Emerald Publishing Limited
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