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An energy-based flight planning system for unmanned traffic management

机译：基于能源的无人驾驶交通计划系统

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摘要

In this paper, we proposed an energy-based flight planning system for Unmanned Aircraft Systems (UAS) Traffic Management (UTM). Fuel consumption estimation at the flight planning stage is safety critical in general aviation, because energy-related failures are often life-threatening. However, conservative fuel estimation is not economical and environmentally friendly because carrying unnecessary fuel load burns a lot of extra fuel. The same reasoning holds in UTM. Aviation researchers are actively working on optimizing fuel loading, but such research is lacking in UTM. In this paper, we aim to optimize energy consumption in UTM with a flight planning system. The accuracy and effectiveness of the system is illustrated by experiments and simulations, respectively.
机译：在本文中，我们为无人飞机系统（UAS）交通管理（UTM）提出了一种基于能源的飞行计划系统。在飞行计划阶段，油耗估算在通用航空中至关重要，因为与能源相关的故障通常会危及生命。但是，保守的燃料估算不经济且不环保，因为携带不必要的燃料负荷会燃烧大量额外的燃料。 UTM中也有同样的道理。航空研究人员正在积极致力于优化燃料装载，但是UTM缺乏此类研究。在本文中，我们旨在通过飞行计划系统优化UTM的能耗。实验和仿真分别说明了该系统的准确性和有效性。

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