基于热流的无人机群体动态图控制

Yacun Guan, Bin Jiang
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引用次数: 0

摘要

提出了一种基于连续体模型的无人机群动态图编队控制方法,使所有无人机在系统成本最小、无碰撞的条件下部署到目标位置。提出了一种热流系统,利用黎曼度量在包含所有无人机状态的可微流形上生成连接初始位置和目标位置的最短轨迹。然后通过这些轨迹提取无人机的控制。仿真结果验证了理论结果的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heat Flow-based Formation Control for UAV Swarms with Dynamic Graph*
This paper proposes a formation control method based on the continuum model for the UAV swarm with the dynamic graph where all UAVs are deployed to the target position under the minimal system cost subject to collisions-free. A heat flow system is proposed to generate all UAVs’ the shortest length trajectories connecting the initial position and target position by using a Riemannian metric on the differentiable manifold including states of all UAVs. The UAVs’ controls are then extracted by these trajectories. Simulation results show the effectiveness of the theoretical results.
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