Developing a Modular Tool to Simulate Regeneration Power Potential Using Orographic Wind-hovering UAVs

M. Gossye, S. Hwang, B. Remes
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引用次数: 1

Abstract

Applications of Unmanned Aerial Vehicles (UAVs) are often limited by flight endurance. To address the limitation of endurance, we propose a regenerative soaring method in this paper. The atmospheric energy from updraft generated by obstacles such as hills and ships can be harvested by UAVs using a regenerative electric drivetrain. With fixed-wing aircraft, the vehicle can hover with specific wind condition, and the battery can be recharged in the air while wind hovering. In order to research the feasibility of this regenerative soaring method, we present a model to estimate hovering locations and the amount of extractable power using the proposed method. The resulting modular regeneration simulation tool can efficiently determine the possible hovering locations and provide an estimate of the power regeneration potential for each hovering location, given the UAVs aerodynamic characteristics and wind-field conditions.
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开发一种模块化工具来模拟使用地形风悬停无人机的再生电力潜力
无人驾驶飞行器(uav)的应用往往受到飞行耐力的限制。针对飞机续航能力的限制,本文提出了一种再生式飞行方法。由山丘和船只等障碍物产生的上升气流产生的大气能量可以通过使用再生电力传动系统的无人机收集。使用固定翼飞行器,飞行器可以在特定的风况下悬停,电池可以在风悬停时在空中充电。为了研究这种再生式翱翔方法的可行性,我们建立了一个模型来估计该方法的悬停位置和可提取功率。由此产生的模块化再生仿真工具可以有效地确定可能的悬停位置,并根据无人机的气动特性和风场条件提供每个悬停位置的功率再生潜力估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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