基于仿真模型的鲁棒协同优化方法研究(英文)  

Study of Robust Collaborative Optimization Based on Simulation Models

作　　者：王威[1] 范文慧[1] 袁煜明[1] 

机构地区：[1]国家CIMS工程技术研究中心,清华大学,北京100084

出　　处：《系统仿真学报》2008年第19期5240-5244,共5页Journal of System Simulation

基　　金：National Hi-Tech Research and Development Program of China (863 Program, No.2006AA04Z160);National Natural Science Foundation of China (No.60474059) ;Pre-Research Foundation of Military Equipment of China

摘　　要：复杂产品往往由多个子系统通过复杂的耦合方式组成。针对复杂产品的多学科鲁棒设计优化技术已得到广泛应用。为了使用仿真模型进行多学科鲁棒设计优化,提出了SUA-RCO和DRS-RCO两种方法。在SUA-RCO方法中,仿真模型首先被拟合为近似的数学模型,然后利用近似数学模型进行RCO计算。系统的不确定性由SUA方法进行计算。为了解决大参数方差问题,DRS-RCO方法将仿真模型近似拟合为双响应面形式,分别使用两个响应面来拟合均值和方差。然后,进行协同优化计算。Robust multidisciplinary design optimization has been widely used in the design of complex products which have many subsystems through complex couplings. In order to do robust collaborative optimization based on simulation models, two methods were developed. In SUA-RCO framework, the simulation models were fitted to approximate models, and the RCO was calculated with the mathematic expression of the approximate models. The uncertainty was included in system uncertainty analysis method. In order to solve the large parameter variation problems, the DRS-RCO method put the simulation models to dual response surfaces which put the uncertainty into the dual-response surface of mean and variation.

关 键 词：复杂产品 鲁棒设计 协同优化 仿真模型 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]