摘要
针对吸气式宽包线高超声速飞行器的气动优化问题,基于任务要求建立了基于多点权重分配的气动外形优化模型,并采用“CFD+准一维流”方法开展了气动性能分析。为兼顾气动外形优化的效率与精度,通过改进现有的并行加点策略,发展了一套基于代理模型与梯度算法的分层优化框架,并采用函数算例对改进后的加点策略进行了验证。对吸气式高超声速飞行器的气动外形进行了分层优化,在满足各学科约束的情况下使飞行器在各个优化评估点处的气动性能均有所提升。
Aimed at the aerodynamic optimization problem of the wide-envelope air-breathing hypersonic vehicle, an aerodynamic shape optimization model based on multi-point weight distribution is established according to mission requirements. The aerodynamic performance analysis is based on "CFD+ quasi-onedimensional flow" method. A set of layered optimization frameworks based on the proxy model and the gradient algorithm is developed by improving the existing parallel point addition strategy to consider both the efficiency and the accuracy during the aerodynamic shape optimization. A function calculation example is used to verify the improved point addition strategy. The aerodynamic shape of the air-breathing hypersonic vehicle is optimized in the current layered optimization framework. It shows that the vehicle’s aerodynamic performances at all evaluation points are improved while meeting the constraints of various disciplines.
作者
王健磊
牟桓
魏震
王强
龚春林
WANG Jianlei;MU Huan;WEI Zhen;WANG Qiang;GONG Chunlin(Shanxi Aerospace Flight Vehicle Design Key Laboratory,School of Astronautics,Northwestern Polytechnical University,Xi’an 710072,China;Beijing Electro-mechanical Engineering Institute,Beijing 100074,China)
出处
《空气动力学学报》
CSCD
北大核心
2023年第2期1-11,I0001,共12页
Acta Aerodynamica Sinica
关键词
高超声速飞行器
气动优化
分层优化
自适应代理模型
伴随梯度算法
hypersonic vehicle
aerodynamic optimization
layered optimization
adaptive optimization model
adjoint gradient algorithm