Competition and Cooperation for Multiple Solar Powered Unmanned Aerial Vehicles under Static Soaring

IF 4.4 2区 地球科学 Q1 REMOTE SENSING Drones Pub Date : 2023-10-31 DOI:10.3390/drones7110653
Yansen Wu, Ke Li, Anmin Zhao, Shaofan Wang, Yuangan Li, Xiaodan Chen
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Abstract

This work examines the competition and allocation of multiple solar-powered unmanned aerial vehicles (SUAVs) to a single thermal since multiple SUAVs often demonstrate superior mission performance compared to a single SUAV. Additionally, they can harvest extra energy from thermal updrafts. This work considers two conditions, a non-cooperative competition and a cooperative allocation of thermal. In each case, corresponding objective functions and constraints are established, and assignment schemes are derived by solving these objective functions. The allocation results are simulated and integrated with the dynamics and solar energy model. The numerical results show that, in the non-cooperative mode, the first vehicle to reach the thermal can occupy it for soaring, while the remaining SUAVs will fly towards the destination directly. But in the cooperative mode, the multiple SUAVs will allocate the thermal to the SUAV with the highest energy gain through soaring, to maximize the overall electric energy storage of the SUAV group.
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静态翱翔下多架太阳能无人机的竞争与合作
这项工作研究了多个太阳能无人驾驶飞行器(SUAV)的竞争和分配,因为与单个SUAV相比,多个SUAV通常表现出更优越的任务性能。此外,它们可以从热上升气流中获取额外的能量。本文考虑了非合作竞争和合作分配两种情况。在每种情况下,建立相应的目标函数和约束条件,并通过求解这些目标函数导出分配方案。对分配结果进行了仿真,并与动力学模型和太阳能模型相结合。数值结果表明,在非合作模式下,第一个到达热点的飞行器可以占用热点进行翱翔,而其余的飞行器则直接飞向目的地。但在合作模式下,多架无人机会通过飞行将热量分配给能量增益最高的那架无人机,以最大限度地提高无人机群的整体蓄能。
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来源期刊
Drones
Drones Engineering-Aerospace Engineering
CiteScore
5.60
自引率
18.80%
发文量
331
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