学术
复杂产品的多学科鲁棒协同设计优化方法研究
王威[1,2] 范文慧[1] 常天庆[2] 刘慧慧[1]
[1]清华大学国家CIMS工程技术研究中心,北京100084 [2]装甲兵工程学院控制工程系,北京100072
摘 要:
为了处理好复杂产品各子系统之间的耦合关系以及各子系统的异构性问题，以协同优化（CO）算法为基础，结合系统不确定分析（SUA）方法和近似不确定传播（IUP）方法，构建了多学科鲁棒协同设计优化算法框架。在设计变量的不确定性能够被概率分布函数描述的情况下，此算法框架能够解决复杂产品的设计优化问题。通过对梳齿式微加速度计的多学科鲁棒协同优化设计算例的计算，验证了此算法在输入参数存在微小扰动的情况下能够有效提高设计解的鲁棒性。[著者文摘]
文章出处:
《高技术通讯》-2008年18卷3期 -282-287页
栏目信息:
A multidisciplinary robust collaborative optimization method for complex product design
Wang Wei, Fan Wenhui, Chang Tianqing , Liu Huihui （ CIMS-ERC Tsinghua University, Beijing 100084; Department of Control Engineering Academy of Armored Force Engineering, Beijing 100072）
Abstract:
In order to solve the coupling relations among the subsystems of a complex product and the isomerization of the subsystems, an algorithm framework for optimization of muhidisciplinary robust design was developed based on the collaborative optimization （CO） algorithm and the methods of implicit uncertainty propagation （IUP） and system uncertainty analysis （SUA）. The algorithm can solve the multidisciplinary design optimation （MD0） problem when the uncertainty of design variables can be described by probability distribution functions. And the feasibility and effectiveness of the algorithm framework were tested and verified by practical computation of the design optimization of a multifinger micro-accelerometer.[著者文摘]
Key words:
complex product, multidisciplinary design optimization （MDO）, collaborative optimization （CO）, robust collaborative optimization （RCO）
基金资助:
863计划（2006AA04A160）、国家自然科学基金（60474059）和武器装备预研基金资助项目.
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