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Modeling and Design Optimization of a Common Aero Vehicle with Parameterized Configuration

机译:参数化配置的通用飞行器建模与设计优化

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A modeling approach for a Common Aero Vehicle (CAV) with parameterized configuration is presented in this paper. A 6 degrees of freedom (DOF) rigid-body model based on winged-cone configuration is proposed. The aerodynamic coefficients are calculated using both the engineering experimental method and computational fluid dynamics (CFD) method. Two kinds of aerodynamic modals for simulation, engineering aerodynamic model (EAM) and merged aerodynamic model (MAM), are developed, and the advantages of MAM are revealed. The nominal CAV model based on MAM is obtained, which is in a general form of CAV aerodynamic model for hypersonic vehicle control design. The impact of configuration parameters on design objectives (including lift-drag ratio, volume-area ratio and longitudinal static stability) are examined. Vehicle optimization is also examined to get the optimized parameters. The Self-Adaptive Evolution (SAE) algorithm and the Sequential Quadratic Programming (SQP) algorithm are used to produce diverse sets of optimal solutions, which enable the designer to quantify tradeoffs among conflicting objectives.
机译:本文提出了一种具有参数化配置的通用航空车辆(CAV)的建模方法。提出了一种基于翼锥构型的6自由度刚体模型。使用工程实验方法和计算流体动力学(CFD)方法计算空气动力学系数。开发了两种用于模拟的空气动力学模型,即工程空气动力学模型(EAM)和合并空气动力学模型(MAM),并揭示了MAM的优势。获得了基于MAM的标称CAV模型,该模型是用于高超音速车辆控制设计的CAV空气动力学模型的一般形式。检查了配置参数对设计目标的影响(包括升阻比,体积面积比和纵向静态稳定性)。还将对车辆优化进行检查以获得优化的参数。自适应进化(SAE)算法和顺序二次规划(SQP)算法用于产生各种最佳解决方案,这使设计人员能够量化冲突目标之间的权衡。

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