宽包线吸气式高超声速飞行器外形优化研究

王健磊; 牟桓; 魏震; 王强; 龚春林

doi:10.7638/kqdlxxb-2021.0326

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宽包线吸气式高超声速飞行器外形优化研究

研究论文 | 更新时间：2026-05-28

- 宽包线吸气式高超声速飞行器外形优化研究
- Investigation on the shape optimization of wide-envelop air-breathing hypersonic vehicle
- 空气动力学学报 2023年41卷第2期页码：1-11
- 作者机构：
  
  1. 西北工业大学航天学院，陕西省空天飞行器设计重点实验室,西安,710072
  2. 北京机电工程研究所,北京,100074
- 作者简介：
  
  王健磊（1983-），男，西安人，副研究员，研究方向：高超声速飞行器一体化设计、新型流动控制技术等. E-mail：wangjianlei@nwpu.edu.cn
  龚春林*，教授，研究方向：导弹和空天飞行器总体设计、飞行器多学科优化、武器系统仿真与效能评估等. E-mail：leonwood@nwpu.edu.cn
- 基金信息：
- DOI：10.7638/kqdlxxb-2021.0326
  中图分类号： V221.3
- 纸质出版：2023
- 稿件说明：
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王健磊, 牟桓, 魏震, 等. 宽包线吸气式高超声速飞行器外形优化研究[J]. 空气动力学学报, 2023, 41(2): 1−11.

WANG Jianlei, MU Huan, WEI Zhen, et al. Investigation on the shape optimization of wide-envelop air-breathing hypersonic vehicle[J]. 2023, 41(2): 1-11.
王健磊, 牟桓, 魏震, 等. 宽包线吸气式高超声速飞行器外形优化研究[J]. 空气动力学学报, 2023, 41(2): 1−11. DOI： 10.7638/kqdlxxb-2021.0326

WANG Jianlei, MU Huan, WEI Zhen, et al. Investigation on the shape optimization of wide-envelop air-breathing hypersonic vehicle[J]. 2023, 41(2): 1-11. DOI： 10.7638/kqdlxxb-2021.0326.

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。

Abstract

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-one-dimensional 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.

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Keywords

references

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