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Energy conservation of V-shaped swarming fixed-wing drones through position reconfiguration

机译:通过位置重新配置的V型群固定翼无人机的节能

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There is currently a growing interest in the area of drag reduction of unmanned aerial vehicles. In this paper, the swarming flight of the fixed-wing drones and a load balancing mechanism during the swarm is investigated. As an example, the swarm flight of EBee Sensfly flying wings is analyzed through the proposed methodology. The aerodynamic drag forces of each individual drone and the swarm are modeled theoretically. It is shown that drones through the swarming flight can save up to 70% of their energy and consequently improve their performance. As swarming drones have different loads and consume a different level of energy depending on their positions, there is a need to replace them during the flight in order to enhance their efficiency. To this end, regarding the number of drones, a replacement algorithm is defined for them so that they will be able to save more energy during their mission. It is shown that there is more than 21 percent improvement in flight time and distance of swarming drones after replacement. This method of replacement and formation can be considered as one of the effective factors in a drag reduction of swarming aerial vehicles. Published by Elsevier Masson SAS.
机译:当前,在减少无人机的减阻领域中,人们越来越感兴趣。本文研究了固定翼无人机的机群飞行和机群飞行过程中的负载平衡机制。例如,通过所提出的方法分析了EBee Sensfly飞行翼的群飞行。理论上对每个无人机和机群的气动阻力进行了建模。结果表明,通过蜂拥飞行的无人机可以节省多达70%的能量,从而提高其性能。由于成群的无人机根据其位置而具有不同的负载并消耗不同水平的能量,因此有必要在飞行过程中对其进行更换以提高其效率。为此,关于无人机的数量,为他们定义了一种替换算法,以便他们能够在执行任务时节省更多能量。结果表明,更换后蜂群的飞行时间和距离缩短了21%以上。这种替换和形成的方法可以被认为是减少成群飞行器的阻力的有效因素之一。由Elsevier Masson SAS发布。

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