摘要
卫星星座的优化设计问题是航天领域的一个研究重点,介绍自主研发的卫星星座优化与仿真平台的系统构架和主要功能.该平台主要包括4个子系统,能够实现卫星星座的信息管理、计算、优化、覆盖分析和可视化仿真等功能.本平台的特色在于使用多种演化算法和多目标优化算法对卫星星座的配置方案进行优化,得到最佳方案,如可以提供灾难应急时卫星机动变轨的最佳方案和仿真过程,从而辅助相关部门及时制定应急措施.并通过与有关文献中的对比计算,证明此系统的正确性和有效性.
Satellite constellation optimization and design is a research key in aerospace field. This paper introduces system architecture and key features of the satellite constellation optimization tool（ SCOT ）. This platform, including the four major sub-systems, can be achieved satellite constellation information management, computing, optimization, coverage analysis and visual simulation functions. Characteristic of this platform is to use a variety of evolutionary algorithms and multi-objective evolutionary algorithms to optimize project of satellite constellation configure and get the best solution, such as it can provide the best solution and the process of simulation for change of satellite orbit when emergency happened, and it help the relative department to make measure. The result of SCOT is compared with the result of some literatures. It has proved the correctness and effectiveness of our system.
出处
《小型微型计算机系统》
CSCD
北大核心
2010年第11期2291-2295,共5页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(60873107)资助
国家"八六三"高技术研究发展计划课题项目(2008AA12A201)资助
中国地质大学(武汉)优秀青年教师资助计划项目(CUGQNL0831)资助
中国地质大学(武汉)校内科研专项资助计划(CUGXGF0901)资助
关键词
卫星星座
覆盖分析
演化算法
多目标优化算法
satellite constellation
coverage analysis
evolutionary algorithm
multi-objective evolutionary algorithm
