首页|An approach for formation design and flight performance prediction based on aerodynamic formation unit:Energy-saving considerations

An approach for formation design and flight performance prediction based on aerodynamic formation unit:Energy-saving considerations

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The performance improvement of swarm drones through aerodynamic shape optimiza-tion may be challenging due to folded size constraints imposed by the specific launch approach.However,fixed-wing aircraft swarms can benefit from formation flight in terms of energy consump-tion.This study introduces the concept of the"aerodynamic formation unit",which consists of two or three aircraft that form an inseparable unit of the formation.Considering the Unmanned Aerial Vehicle(UAV)distribution and wingtip vortex interference in the formation,two typical aerody-namic formation units are optimized by the variable-fidelity aerodynamic optimization method based on space mapping.The aerodynamic characteristics of the formation UAVs that affect flight performance,such as lift-to-drag ratio(L/D ratio)and static stability are analyzed by Computa-tional Fluid Dynamics(CFD)simulations.The L/D ratio(cruising condition)of the following air-craft can be increased by 22.8％and 57.5％in the optimal units that involve two and three aircraft respectively.Moreover,this study conducts several CFD simulations for multi-aircraft formations formed by the units,which show that the average L/D ratio of the formation can be improved by more than 19％.These results verify the feasibility and effectiveness of the"aerodynamic formation unit"concept and the optimization framework for formation parameters.

Formation flightCFDAerodynamic formation unitWingtip vorticesFoldable tandem-wing aircraft

Nanxuan QIAO、Tielin MA、Xiangsheng WANG、Jie WANG、Jingcheng FU、Pu XUE

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School of Aeronautic Science and Engineering,Beihang University,Beijing 100191,China

Institute of Unmanned System,Beihang University,Beijing 100191,China

Key Laboratory of Advanced Technology of Intelligent Unmanned Flight System,Ministry of Industry and Information Technology,Beijing 100191,China

School of Transportation Science and Engineering,Beihang University,Beijing 102206,China

Beijing Institute of Space Long March Vehicle,Beijing 100076,China

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2024

10.1016/j.cja.2024.01.002

中国航空学报(英文版)
中国航空学会

中国航空学报(英文版)

CSTPCDEI
影响因子：0.847
ISSN：1000-9361
年,卷(期)：2024.37(3)
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