未来HALE无人机螺旋桨优化设计

J. Svorcan, Sakib Hasan, Marija Baltić, A. Simonović
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引用次数: 3

摘要

无人飞行器(uav)的主要作用包括:观测、监视、运输、遥感和各种安全任务。改进的增强型无人机是高空长航时(HALE)飞机,顾名思义,用于在更高高度(通常也意味着亚音速巡航速度)进行长时间飞行。在尺寸和应用的技术解决方案上,已经尝试了不同的变体。常见的方法包括标准的机翼-机身-尾翼配置和推进飞行,作为所需速度范围内最有效的。本文简要概述了主要升力面的初步气动分析,并详细描述了在巡航高度和速度下能够产生足够推力的螺旋桨的多目标优化。采用简单叶元动量理论(BEMT)估算了所研究螺旋桨的气动性能。所选择的优化方法遗传算法(GA)适用于处理大量输入变量。
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Optimal Propeller design for future HALE UAV
The main roles of unmanned air vehicles (UAVs) include: observation, surveillance, transportation, remote sensing and various security tasks. Improved, augmented type of UAVs are high-altitude long-endurance (HALE) aircraft capable and designed, as their name suggests, for lengthy flights at higher altitudes (which also usually implies subsonic cruising velocities). Different variants, in both size and applied technical solutions, have been tried. Common approach incorporates standard wing-fuselage-aft empennage configuration and propelled flight as the most efficient for the required speed range. The paper gives a brief overview of a preliminary aerodynamic analysis of the main lifting surfaces as well as a detailed description of the performed multi-objective optimization of the propeller capable of producing a sufficient amount of thrust at the cruising altitude and speed. Aerodynamic performances of the investigated propellers are estimated by a simple blade element momentum theory (BEMT). The chosen optimizing method, genetic algorithm (GA), is suitable for dealing with a large number of input variables.
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