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Aerodynamic Modeling and Optimization of a Blended-Wing-Body Transitioning UAV

机译:混纺翼身过渡无人机的空气动力学建模与优化

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In this paper, the aerodynamic analysis and optimization of a new transitioning unmanned aerial vehicle (UAV) is presented. This UAV is capable of VTOL, hover, efficient (fixed-wing type) forward flight, and flight states in-between. The overall configuration comprises a blended-wing-body (which facilitates desirable weight distribution and flight efficiency), with two rotor arms mounted at the two wing tips using span-wise shafts; the arms can rotate about the span-wise axis, and each contains two propellers at its two ends (4 propellers in total). A Vortex Lattice (VL) method is used to perform the aerodynamic analysis; appropriate airfoil choices and number of panels in the VL method are established. The lift and drag forces computed are used to estimate forward flight range and endurance (assuming battery-powered flight), by leveraging typical momentum theory formulations. Since, a hybrid UAV such as BITU is expected to provide the flexibility of flying in varying wind conditions, diverse wind scenarios are taken into consideration here. Uncertainties associated with wind conditions are addressed by taking a typical and worst case scenario perspective, and introducing carefully tailored redundancies during the modeling and optimization formulation process. Optimization studies, using a mixed-integer Particle Swarm Optimization algorithm, are performed to separately maximize forward-flight range, subject to various aerodynamic and geometric constraints. Interestingly, the optimization converges to distinct designs under calm, windy, and stormy wind scenarios, with flight ranges going from about 163 km to about 54 km.
机译:本文提出了一种新的过渡无人机(UAV)的空气动力学分析和优化。这款UAV能够进行VTOL,悬停,高效(固定翼型)向前飞行和飞行状态。整体构造包括混合 - 翼体(有利于所需的重量分布和飞行效率),两个转子臂使用跨度轴安装在两个翼尖处;臂可以围绕跨度轴旋转,每个轴在其两端包含两个螺旋桨(总共4个螺旋桨)。涡流晶格(VL)方法用于进行空气动力学分析;建立了适当的翼型选择和VL方法中的面板数。通过利用典型的动量理论配方,计算的电梯和拖曳力用于估计前向飞行范围和耐力(假设电池供电的飞行)。由于Hybrid UAV,如Bitu,预计将提供在不同风力条件下飞行的灵活性,因此在此考虑不同的风情景。通过采用典型和最差的情况的角度来解决与风力条件相关的不确定性,并在建模和优化制定过程中引入精心定制的冗余。优化研究使用混合整数粒子群优化算法进行分别最大化前向飞行范围,受到各种空气动力学和几何约束。有趣的是,优化会聚到平静,刮风和暴风雨的风景下的不同设计,飞行范围从约163公里到大约54公里。

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