基于多因素模糊推理的卫星综合效能评估
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中国科学院微小卫星创新研究院

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TP391.9

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Satellite comprehensive effectiveness evaluation based on multi-factor fuzzy reasoningYu Yeluo1,2,Zheng Qianyun1,2,Yang Shanqiang1,Chang Xiao1,2,Fang Xiaomei3
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    摘要:

    针对目前卫星复杂化、多任务、集群化发展大趋势,利用传统的性能穷举法及单性能评估法进行卫星的综合效能评估已经无法满足,对卫星综合效能指标体系进行研究,以微纳集群卫星为例,分层列举了相关指标体系,对卫星综合效能评估方法进行了研究,介绍了一般效能评估流程,提出了一种改进的模糊推理效能评估方法,该方法在原有单因素评估指标模糊推理的基础上,加入了指标间的多因素比较,并与层次分析相结合。最后以实际导航卫星为例进行仿真分析,分析结果表明该方法切实可行,效能评估结果正确有效,为复杂卫星系统提高其综合效能提供保障。

    Abstract:

    Aiming at the current satellite develop trend of complication, multitasking and clustering, the traditional performance exhaustive method and single performance evaluation method for satellite comprehensive effectiveness evaluation can not be satisfied. Researched on satellite comprehensive effectiveness index system and took micro-nano cluster satellite as an example, hierarchical enumeration of relevant indicator systems. studied the satellite comprehensive effectiveness evaluation methods and introduced the general effectiveness evaluation process, and proposed an improved fuzzy reasoning effectiveness evaluation method, which is based on the fuzzy reasoning of the original single factor evaluation index, besides a multi-factor comparison between indicators is added and combined with analytic hierarchy analysis. Finally, the actual navigation satellite is taken as an example for simulation analysis. The analysis results show that the method is feasible and the effectiveness evaluation result is correct and effective, which provides guarantee for the complex satellite system to improve its comprehensive performance.

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虞业泺,郑倩云,杨善强,常枭,方小梅.基于多因素模糊推理的卫星综合效能评估计算机测量与控制[J].,2020,28(9):267-271.

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  • 收稿日期:2019-12-31
  • 最后修改日期:2020-02-21
  • 录用日期:2020-02-21
  • 在线发布日期: 2020-09-16
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