高速折叠翼飞行器气动布局优化设计  

Aerodynamic layout optimization design of high-speed folding-wing vehicles

作　　者：袁亚 刘君 余家泉 张程[2] 任鹏飞 YUAN Ya;LIU Jun;YU Jiaquan;ZHANG Cheng;REN Pengfei(Faculty of Vehicle Engineering and Mechanics,Dalian University of Technology,Dalian 116024,China;China Academy of Launch Vehicle Technology,Beijing 100076,China)

机构地区：[1]大连理工大学运载工程与力学学部,大连116024 [2]中国运载火箭技术研究院,北京100076

出　　处：《北京航空航天大学学报》2024年第11期3410-3416,共7页Journal of Beijing University of Aeronautics and Astronautics

摘　　要：为解决在内部载荷和外部发射装置约束条件下高速复杂折叠翼飞行器气动布局优化设计问题,提出基于类型函数/形状函数转换(CST)技术和直接参数结合的折叠翼飞行器参数化建模方法,开发了基于物面法矢量快速修正的黏性气动特性快速计算方法,并围绕飞行器气动性能的多目标优化设计,构建了基于克里金代理模型-遗传算法(Kriging-GA)的高速折叠翼飞行器多目标优化算法框架和优化流程,实现高速折叠翼飞行器气动布局的优化设计,获得了多目标多约束下的优化解集,可指导高速折叠翼飞行器气动布局优化设计。In order to solve the optimization design problem of the aerodynamic layout of complex high-speed folding-wing vehicles under the constraints of internal loads and external launch devices,a parametric modeling method for folding-wing vehicles based on the combination of class shape transformation(CST)and direct parameterization was proposed.In addition,a fast calculation method of viscous aerodynamic characteristics based on the rapid correction of the normal vector of the object plane was developed.The multi-objective optimization algorithm framework and optimization process of high-speed folding-wing vehicles based on Kriging-genetic algorithm(Kriging-GA)were constructed,so as to optimize the aerodynamic layout design of high-speed folding-wing vehicles.The optimization solution set under multiple objectives and constraints was obtained,which could guide the aerodynamic layout optimization design of high-speed folding-wing vehicles.

关 键 词：折叠翼飞行器 参数化 克里金代理模型-遗传算法 气动性能 多目标优化 

分 类 号：V221.3[航空宇航科学与技术—飞行器设计] TB553[理学—物理]