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空天防御  2018, Vol. 1 Issue (2): 1-6    
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  导弹武器系统与总体技术 本期目录 | 过刊浏览 | 高级检索 |
引入分系统优化的协同优化方法及其应用研究
卫晓娜,徐海斌,陈金强,董云峰
1.中国科学院空间应用工程与技术中心,北京,100094;
2.哈尔滨飞机工业集团有限责任公司,哈尔滨,150066;
3.北京航空航天大学宇航学院,北京,100191
A Collaborative Optimization Method by Introducing Subsystem Optimization and Its Application
Wei Xiaona, Xu Haibin, Chen Jinqiang, Dong Yunfeng
1. Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China; 
2. Hafei Aviation Industry Co., Ltd, Harbin 150066, China; 
3. School of Astronautics, Beihang University, Beijing 100191, China
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摘要 针对传统协同优化方法分系统级没有进行自身优化,不能保证分系统自身最优,相应地,不能保证协同优化方法优化结果最优的问题。本文将分系统优化模型的优化目标扩展为分系统自身最优以及共享变量优化结果与系统级提议的目标值最接近,提出了引入分系统优化的协同优化方法,并通过卫星总体设计验证了方法的有效性。
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Abstract:The optimization objective of the subsystem is not included in subsystem-level optimization model of traditional collaborative optimization (CO) method. The shortcoming leads to that the subsystem is not necessarily optimal, and the optimal results cannot be obtained usually using the traditional CO. The optimization objective of the subsystem is added to subsystem optimization model, in which the original optimization objective is only that the shared variables are closest to the target values proposed by the system level. A collaborative optimization method with subsystem optimization is proposed. The effectiveness of the method is verified by the system design of the satellite.
收稿日期: 2017-11-21      出版日期: 2018-04-09
ZTFLH:  V423.4  
作者简介: 卫晓娜(1985— ),女,博士,助理研究员,研究方向为卫星系统软件设计
引用本文:   
卫晓娜, 徐海斌, 陈金强, 董云峰. 引入分系统优化的协同优化方法及其应用研究[J]. 空天防御, 2018, 1(2): 1-6.
Wei Xiaona, Xu Haibin, Chen Jinqiang, Dong Yunfeng. A Collaborative Optimization Method by Introducing Subsystem Optimization and Its Application. Air & Space Defense, 2018, 1(2): 1-6.
链接本文:  
https://www.qk.sjtu.edu.cn/ktfy/CN/      或      https://www.qk.sjtu.edu.cn/ktfy/CN/Y2018/V1/I2/1

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