超临界机翼多目标气动优化设计的策略与方法

doi:10.7527/S1000-6893.2019.23409

飞行器气动外形数值优化与设计专栏

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超临界机翼多目标气动优化设计的策略与方法

李润泽, 张宇飞, 陈海昕

清华大学航天航空学院, 北京 100084

收稿日期:2019-08-27 修回日期:2019-09-23 出版日期:2020-05-15 发布日期:2019-10-10
通讯作者: 陈海昕 E-mail:chenhaixin@tsinghua.edu.cn
基金资助:
国家自然科学基金（11872230，91852108）；清华大学自主创新科研基金（2015Z22003）

Strategies and methods for multi-objective aerodynamic optimization design for supercritical wings

LI Runze, ZHANG Yufei, CHEN Haixin

School of Aerospace Engineering, Tsinghua University, Beijing 100084, China

Received:2019-08-27 Revised:2019-09-23 Online:2020-05-15 Published:2019-10-10
Supported by:
National Natural Science Foundation of China (11872230, 91852108); Innovation Program of Tsinghua University (2015Z22003)

摘要/Abstract

摘要： 超临界机翼的气动设计十分复杂，往往需要借助于有效的优化手段。然而，优化方法本身往往无法直接表达真实完整的设计意图，因此需要将工程需求和约束转换为优化方法所能处理的数学形式。本文首先探讨了梯度优化方法和进化类优化方法在气动优化中的表现。之后简要总结了前人在飞机气动设计中提出的准则和要求，并基于压力分布形态定义了超临界机翼气动设计的关键特征及定量要求，探究其在超临界机翼气动优化设计中的应用效果。研究结果表明，在多目标优化中引入面向压力分布形态特征的目标和约束，能有效引导优化体现工程设计思想，进而提高优化效率。

关键词: 多目标优化, 梯度优化, 伴随方法, 气动设计, 压力分布引导, 人在回路

Abstract: Optimization methods are often applied in aerodynamic design of modern civil aircraft supercritical wings. However, optimization algorithms cannot directly describe the industrial requirements, therefore, corresponding mathematical descriptions must be developed to tackle the problem. In the present paper, gradient algorithms and stochastic algorithms are compared in a supercritical wing optimization. Then, several requirements of aircraft aerodynamic design are summarized and mathematically described, and these criteria are applied to a multi-objective stochastic optimization method as objectives and constraints. The method is applied to a civil aircraft wing aerodynamic optimization, and the results show that better efficiency and result can be obtained by using pressure distribution guided objectives and constraints.

Key words: multi-objective optimization, gradient optimization, adjoint method, aerodynamic design, pressure distribution guided, man-in-loop

中图分类号:

V224

李润泽, 张宇飞, 陈海昕. 超临界机翼多目标气动优化设计的策略与方法[J]. 航空学报, 2020, 41(5): 623409-623409.

LI Runze, ZHANG Yufei, CHEN Haixin. Strategies and methods for multi-objective aerodynamic optimization design for supercritical wings[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020, 41(5): 623409-623409.

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E-mail：hkxb@buaa.edu.cn

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

超临界机翼多目标气动优化设计的策略与方法

Strategies and methods for multi-objective aerodynamic optimization design for supercritical wings

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