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概念设计集成系统与星座方案探索
引用本文:郭爱斌,米洁,董晓琴,邓家禔.概念设计集成系统与星座方案探索[J].北京航空航天大学学报,2007,33(5):613-617.
作者姓名:郭爱斌  米洁  董晓琴  邓家禔
作者单位:北京航空航天大学,机械工程及自动化学院,北京,100083;北京航空航天大学,机械工程及自动化学院,北京,100083;北京航空航天大学,机械工程及自动化学院,北京,100083;北京航空航天大学,机械工程及自动化学院,北京,100083
基金项目:致谢 衷心感谢在系统调试过程中王振华、王永坡、隋鹏飞、何恒同学给予积极支持和配合.
摘    要:进一步研究了快速方案选择和概念设计新方法.结合概念设计过程,给出星座方案选择和卫星概念设计的基本模型,在方案探索和概念设计中集成了风险和不确定性分析;应用系统综合设计优化平台(SDOF)开发卫星星座概念设计集成系统,实现卫星星座方案探索优选;集成系统交互、演进、分布式协同设计,可自动运行优化过程,同时可监视和控制设计任务单元运行状况,优化完成后用户可定制设计报告内容和格式;最后介绍了对地观测卫星星座概念设计实例,采用多岛遗传算法进行优化,初步验证了该系统在技术原理上的可行性.

关 键 词:卫星设计  方案选择  概念设计  不确定性  SDOF
文章编号:1001-5965(2007)05-0613-05
收稿时间:2006-07-10
修稿时间:2006-07-10

Concept design integrated system and constellation architecture exploration
Guo Aibin,Mi Jie,Dong Xiaoqin,Deng Jiati.Concept design integrated system and constellation architecture exploration[J].Journal of Beijing University of Aeronautics and Astronautics,2007,33(5):613-617.
Authors:Guo Aibin  Mi Jie  Dong Xiaoqin  Deng Jiati
Institution:School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
Abstract:The method of rapid architecture selection and concept design was further discussed. The elementary models of satellite constellation′s architecture selection and concept design combined with concept design process were introduced. Risk and uncertainty analysis were integrated into the models. The integrated system of satellite constellation concept design was realized by using system design optimization framework(SDOF). The design process of the integrated system was given. The satellite constellation architecture selection and concept design proceeded with the interactive, evolving and collaborative fashion. The concept design optimization could be executed automatically, and the operation of design task unit could be monitored and controlled. After the completion of satellite concept design optimization, the design report′s context and style could be tailored by the costumers. The example for the satellite constellation for observing the earth was presented and its optimal result was achieved by using the multi-island genetic algorithm. The result demonstrates the usefulness and validity of the system.
Keywords:SDOF
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