航空学报 > 2007, Vol. 28 Issue (5): 1025-1032

运用低自由度协同优化的机翼结构气动多学科设计优化

刘克龙,姚卫星,余雄庆   

  1. 南京航空航天大学 航空宇航学院
  • 收稿日期:2006-12-22 修回日期:2007-06-21 出版日期:2007-10-15 发布日期:2007-10-15
  • 通讯作者: 姚卫星

Multidisciplinary Structural Aerodynamic Design Optimization of Wings with Low Degree-of-freedom Collaborative Optimization

Liu Kelong,Yao Weixing,Yu Xiongqing   

  1. College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics
  • Received:2006-12-22 Revised:2007-06-21 Online:2007-10-15 Published:2007-10-15
  • Contact: Yao Weixing

摘要:

为了解决协同优化方法(CO)协调困难和计算量过大的问题,提出了低自由度协同优化方法(LDFCO)。LDFCO的系统级优化通过调整共享设计变量和辅助设计变量,使系统目标最优,并满足一致性约束条件。子系统优化通过调整局部设计变量,使子系统目标最优,并满足局部约束条件。子系统目标有2种形式:最小化本子系统的一致性约束函数和直接与系统目标有关的状态变量的加权和,或最小化一种不同于前者的一致性约束函数。着重研究了如何利用常规LDFCO/V1和基于代理模型的LDFCO/V1求解机翼的气动/结构多学科设计优化问题,并与CO方法进行了对比,结果表明常规LDFCO/V1和基于代理模型的LDFCO/V1都能成功地应用到机翼的多学科设计优化中,验证了LDFCO/V1的可行性和有效性。

关键词: 多学科设计优化, 低自由度协同优化, 协同优化, 代理模型

Abstract:

In order to reduce computation cost and improve convergence characteristic of collaborative optimization (CO), low degreeoffreedom collaborative optimization (LDFCO) is proposed. The systemlevel optimizes the problem target by changing the shared and auxiliary variables and being subjected to the consistency constraints. Each subsystem optimizes its objective, satisfies its local constraints by varying its local variables. There are two formulations of the objective of each subsystem.

Key words: multidisciplinary , design , optimization,  , low , degree-of-freedom , collaborative , optimization,  , collaborative , optimization,  , surrogate , model

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