航空学报 > 2019, Vol. 40 Issue (2): 522369-522369   doi: 10.7527/S1000-6893.2019.22369

大型民用飞机气动外形典型综合设计方法

黄江涛1, 高正红2, 余婧1, 郑传宇1, 周铸1   

  1. 1. 中国空气动力研究与发展中心计算空气动力研究所, 绵阳 621000;
    2. 西北工业大学 航空学院, 西安 710072
  • 出版日期:2019-02-15 发布日期:2019-03-02
  • 通讯作者: 郑传宇 E-mail:zhengcy11@163.com
  • 基金资助:
    国家自然科学基金(11402288);国家重点研发计划(2016YFB0200704)

A typical integrated design method for aerodynamic shape optimization of large civil aircraft

HUANG Jiangtao1, GAO Zhenghong2, YU Jing1, ZHENG Chuanyu1, ZHOU Zhu1   

  1. 1. Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang 621000, China;
    2. School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China
  • Online:2019-02-15 Published:2019-03-02
  • Supported by:
    National Natural Science Foundation of China (11402288); National Key R&D Program of China (2016YFB0200704)

摘要: 基于自主研发的飞行器气动外形大规模并行化、分布式综合设计软件AMDEsign,开展了大型民用飞机气动外形多目标综合设计,研究了处理高维目标空间多目标优化问题的有效处理方式,为优化数学模型的合理确定提供数据参考。在此基础之上,基于软件AMDEsign的主分量分析(PCA)、离散伴随方法两个典型模块,对宽体飞机数字化模型开展多目标优化,其中离散伴随方法中引入虚拟可行解集逼近方法,为权系数提供有效的导向性选择;并进一步将结果进行多目标评估分析,设计结果表明,主分量分析能够有效识别目标函数的相关性,虚拟可行解集方法效率较高,充分利用了离散伴随效率高以及导向性权函数预测等优点,多点设计外形在巡航升阻比、抖振特性以及阻力发散等性能上具有明显改善。文中提出的综合设计方法简捷高效且具有较强的工程应用价值。

关键词: 离散伴随优化, 非支配解优化, 多目标优化, 虚拟Pareto可行解集, 相关性分析

Abstract: To study multi-objective optimization in the high-dimensional target space, a multi-objective integrated design for the aerodynamic shape of large civilian aircraft is carried out by using the AMDEsign, a self-developed software for large-scale parallelization and distributed optimization of aircraft aerodynamic shape. The multi-objective optimization of the digitized model of a wide-body aircraft is performed by two typical modules of AMDEsign:Principal Componet Analysi (PCA) and the discrete adjoint method. The discrete adjoint method is combined with the virtual pareto solution set method to provide an effective directional choice for the weight coefficient. The design results show that the principal component analysis can effectively identify the correlation of the objective function, and the virtual feasible solution set method has high efficiency. The design also fully utilizes the advantages of high efficiency of discrete adjoint and the prediction capabilities of the guided weight function. The multi-point optimized configuration demonstrate significant improvements in cruise lift-drag ratio, drag convergence characteristics, and resistance divergence. The integrated design method proposed is shown to be simple, efficient and applicable in practice.

Key words: discrete adjoint optimization, non-dominated solution optimization, multi-objective optimization, virtual Pareto solution set, correlation analysis

中图分类号: