基于近似模型的两级集成系统协同优化方法

中国机械工程 ›› 2012, Vol. 23 ›› Issue (4): 395-402.

基于近似模型的两级集成系统协同优化方法

蒋平;匡玲;邵新宇;肖蜜

华中科技大学数字制造装备与技术国家重点实验室,武汉,430074

出版日期:2012-02-25 发布日期:2012-03-02
基金资助:
国家高技术研究发展计划(863计划)资助项目(2009AA044601)；高等学校博士学科点专项科研基金资助项目(20100142120095)
National High-tech R&D Program of China (863 Program) （No. 2009AA044601）;

Research Fund for the Doctoral Program of Higher Education of China（No. 20100142120095）

A New BLISCO Method Based on Approximate Models

Jiang Ping;Kuang Ling;Shao Xinyu;Xiao Mi

The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology,Wuhan,430074

Online:2012-02-25 Published:2012-03-02
Supported by:

National High-tech R&D Program of China (863 Program) （No. 2009AA044601）;

Research Fund for the Doctoral Program of Higher Education of China
（No. 20100142120095）

摘要/Abstract

摘要：

在两级集成系统协同优化(BLISCO)方法的基础上提出了一种基于近似模型的BLISCO方法,该方法在继承了BLISCO方法优点的同时,具有能够减少设计优化过程中仿真分析和计算次数、平滑设计空间数值噪声、加快收敛速度等优点。通过两个算例,针对子系统存在耦合和不存在耦合两种情况对所提出方法进行了测试,分析结果表明,采用基于近似模型的BLISCO方法可以快速、准确地获得最优解,且综合性能优于原BLICO方法和相关文献所提出的方法。

关键词:

多学科设计优化, 多级MDO方法, 两级集成系统协同优化（BLISCO）, 近似模型

Abstract:

BLISCO method is a high efficient multi-level MDO method which combines the advantages of Bi-level integrated system synthesis (BLISS) method and collaborative optimization (CO) method. This paper proposed a new BLISCO method based on approximate models. In addition to inheriting the merits of BLISCO method, it can also reduce the number of simulation analysis and calculation during design optimization processes,smooth the numerical noise in design space, avoid local optimum and quickly find the global optimal solution. The proposed method was tested by two examples, separately from both cases of subsystem existing coupling or not. Through the comparative analysis, it shows that the new BLISCO method based on approximate models can obtain the optimal solution quickly and accurately, and its overall performance is better than

that of the original BLISCO method and the methods proposed by the literatures.

Key words: multidisciplinary design optimization, multi-level MDO methods, bi-level integrated system collaborative optimization(BLISCO), approximate model

中图分类号:

TH122
O224

蒋平, 匡玲, 邵新宇, 肖蜜.

基于近似模型的两级集成系统协同优化方法

[J]. 中国机械工程, 2012, 23(4): 395-402.

JIANG Beng, KUANG Ling, SHAO Xin-Yu, XIAO Mi.

A New BLISCO Method Based on Approximate Models

[J]. China Mechanical Engineering, 2012, 23(4): 395-402.

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链接本文: http://www.cmemo.org.cn/CN/

http://www.cmemo.org.cn/CN/Y2012/V23/I4/395

参考文献

[1]Sobiesczanskl--5obieskl J. A Linear Decomposition Method for Optimization Problem- Blueprint for Development [ R ]. Hampton: NASA Technical Memorandum, 1982.
[2]Xu L, Yan L, Chen X Q, et al. Enhanced Bi--level Integrated System Synthesis 2000 (EBLISS 2000) [C]//50th AIAA/ASME/ASCE/AHS/ASC Struc- tures Structural Dynamics and Materials Confer- ence. New York: American Institute of Aeronautics and Astronautics Inc. , 2009 : 1-15.
[3]赵敏[1],崔维成[2].BLISCO方法在载人潜水器设计中的应用[J].船舶力学,2009,13(2):259-268.
[4]赵敏.两级集成系统协同优化方法及其在深海空间站总体概念设计中的应用 [D].上海交通大学,2009:
[5]Barthelemy J F, Sobieszczanski-- Sobieski J. Opti- mum Sensitivity Derivatives of Objective Function in Nonlinear Programming[J]. AIAA Journal, 1983, 21(6): 913-915.
[6]王振国等著.飞行器多学科设计优化理论与应用研究[M],2006:411.
[7]Sakata S, Ashida F, Zako M. Structural Optimiza- tion Using Kriging Approximation[J]. Computer Methods in Applied Mechanics and Engineering, 2003, 192(7/8):923-939.
[8]Gusciora P H, Foss A S. A Reduced--order Model of a Fixed--bed Reactor Based on a Novel Applica- tion of the Taylor Dispersion Approximation[C]// American Control Conference. Atlanta, 1988:1058- 1063.
[9]钟毅芳,陈柏鸿,王周宏编著.多学科综合优化设计原理和方法[M],2006:182.
[10]Padula S L, Alexandrov N M, Green L L. MDOTest Suite at NASA Langley Research Center, AIAA- 1996 - 4028 [R]. New York.. American Institute of Aeronautics and Astronautics, 1996.
[11]Kodiyalam S. Evaluation of Methods for Multidisci- plinary Design O ptimization ( MDO ), CR- 1998 -208716[R]. Hampton: NASA, 1998.
[12]Azarm S, Li W C. Multi--level Design Optimiza tion Using Global Monotonicity Analysis[J]. Jour nal of Mechanisms, Transmissions, and Automa tion in Design, 1989, 111(2): 259-263.
[13]蔡伟,陈小前,姚雯.基于加速收敛BLISS的不确定性多学科设计优化[C]//高金伍,王国俊.第六届中国不确定系统年会论文集.香港:Global-Link Publisher,2008:25-30.
[14]Xiao M, Gao L, Qiu H B, et al. An Approach Based on Enhanced Collaborative Optimization andKriging Approximation in Multidisciplinary Design Optimization[J].Advanced Materials Research, 2010, 118/120: 399-403.
[15]Sellar R S, Batill S M, Renaud J E. Response Sur- face Based, Concurrent Subspace Optimization for Multidisciplinary System Design, AIAA-- 1996 -- 0714[R]. New York: American Institute of Aero- nautics and Astronautics, 1996.