Initial Investigation of Aerodynamic Shape Design Optimisation for the Aegis UAV

Initial Investigation of Aerodynamic Shape Design Optimisation for the Aegis UAV
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宙斯盾无人机气动外形设计优化初探

DOI:
10.1016/j.trpro.2018.02.002
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发表时间:
2018
期刊:
Transportation research procedia
影响因子:
--
通讯作者:
T. Kipouros
T. Kipouros
中科院分区:
--
文献类型:
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作者:
Yousef Azabi;A. Savvaris;T. Kipouros

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本文提出了一种气动设计优化方法,用于进一步发展现有的无人机(UAV)平台称为宙斯盾。本文旨在研制一种民用中高空长航时无人机。所使用的方法也适用于任何飞行器平台的概念和初步设计阶段。它结合了一个低保真度的空气动力学分析工具,雅典娜涡格代码,与设计优化工具(尼姆罗德/O)。元启发式算法,多目标禁忌搜索-2(MOTS 2),用于执行优化过程。这种新的方法研究优化无人机机翼平面形状水平飞行。该方法成功地应用于不同飞行速度下的Aegis无人机机翼优化设计。在制定设计问题之前,进行了参数研究,以探索设计空间,并深入了解目标函数相对于设计变量的行为。这里介绍的方法还没有最终确定,它是构建一个通用框架的第一步,该框架可用于优化双悬臂无人机气动外形的设计。已经成功的尼姆罗德/O软件包、MOTS 2软件包和AVL软件包的接口产生了一个初步的结果,表明新的方法能够为设计优化过程提供正确的支持决策,这将使整个UAV研究人员和设计人员受益。
This paper presents an aerodynamic design optimisation methodology used in further developing an already existing Unmanned Aerial Vehicle (UAV) platform called Aegis. This paper aims to deliver a medium altitude long endurance UAV for civilian purposes. The methodology used is also applicable to conceptual and preliminary design phases of any aerial vehicle platform. It combines a low fidelity aerodynamic analysis tool, Athena Vortex Lattice Code, with a design optimisation tool (Nimrod/O). The meta-heuristic algorithm, Multi-Objective Tabu Search-2 (MOTS2), is used to perform the optimisation process. This new methodological study optimises the UAV wing planform for level flight. It was used successfully to obtain a set of optimal wing shapes for the Aegis UAV flying at different speeds. Prior to the formulation of the design problem, a parametric study was performed to explore the design space and provide an insight into how the objective functions behave with respect to the design variables. The methodology presented here is not finalized, it is a first step to constructing a general framework that can be used to optimise the design of a twin-boom UAV aerodynamic shape. The interfacing of the already successful packages Nimrod/O, MOTS2, and AVL software produces an initial result that shows the capability of the new methodology to provide correct support decisions making for a design optimisation process that will benefit the entire community of UAV researchers and designers when it is complete.