Swarm UAV scene simulation based on differential flatness and swarm intelligence

Qingchen Zhou; Xianzhao Shen; Mingming Xu

doi:10.1117/12.3039441

28 August 2024 Swarm UAV scene simulation based on differential flatness and swarm intelligence

Qingchen Zhou, Xianzhao Shen, Mingming Xu

Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132512O (2024) https://doi.org/10.1117/12.3039441
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China

Abstract

To better support the research of counter UAV systems on swarm UAV targets and meet the needs of dynamic deduction and detection modeling of swarm UAVs, a swarm UAV scene simulation method based on differential flatness and swarm intelligence is proposed. Based on the trajectory generation model of cluster algorithm, dynamic algorithm and spatial division technology, this method implements group strategies such as exclusion, attraction and velocity alignment and ensures that the trajectory generation meets point-to-point navigation while having advanced group behavior. Through simulation experiments, the superiority of this technology in generating complex swarm UAV scenarios can be proved, which can effectively support the dynamic deduction requirements of counter UAV systems for swarm UAV targets.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qingchen Zhou, Xianzhao Shen, and Mingming Xu "Swarm UAV scene simulation based on differential flatness and swarm intelligence", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132512O (28 August 2024); https://doi.org/10.1117/12.3039441

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KEYWORDS

Unmanned aerial vehicles

Scene simulation

Mathematical modeling

Matrices

Target detection

Evolutionary algorithms

Formation flying

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