指挥与控制学报2024,Vol.10Issue(4) :420-431.DOI:10.3969/j.issn.2096-0204.2024.04.0420

基于全局敏感性的超网络杀伤网精度映射方法

Precision Mapping Method of Supernetwork Kill Web Based on Global Sensitivity

吕红庆 董灿 王子安 董瑞霖 许江涛 沈财旭
指挥与控制学报2024,Vol.10Issue(4) :420-431.DOI:10.3969/j.issn.2096-0204.2024.04.0420

基于全局敏感性的超网络杀伤网精度映射方法

Precision Mapping Method of Supernetwork Kill Web Based on Global Sensitivity

吕红庆 1董灿 2王子安 3董瑞霖 2许江涛 2沈财旭2
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作者信息

  • 1. 哈尔滨工程大学航天与建筑工程学院,哈尔滨 150001;哈尔滨工程大学烟台研究院,烟台 264000
  • 2. 哈尔滨工程大学航天与建筑工程学院,哈尔滨 150001
  • 3. 中国运载火箭技术研究院,北京 100076
  • 折叠

摘要

为解决作战体系的任务成功率研究面临的装备体系融合困难、任务间及其他不确定因素影响作用的问题,提出一种作战体系精度映射方法.通过结合超网络的概念构建作战体系基础模型,映射得到杀伤网模型,引入影响网络的方法,考虑装备特性及其他因素,实现杀伤网到精度网的转换,完成任务成功率的修正,利用全局敏感性分析的方法,开展节点重要度研究.面向打击高价值目标的作战场景,搭建作战体系精度网模型,修正作战任务成功率,实现重要节点筛选.仿真结果表明该方法在作战体系任务成功率研究中具有一定的应用价值.

Abstract

In order to solve the problems of the difficulty of equipment and system integration,the influence of tasks and other uncertain factors in the research of mission success rate of combat system,a precision mapping method of combat system is proposed.By combining the concept of supernetwork,the basic model of combat system is constructed,and the kill web model is obtained by mapping.The method of influence network is introduced.The characteristics of equipment and other factors are considered,the transformation from kill web to precision network is realized,and the correction of mission success rate is completed.The method of global sensitivity analysis is used to carry out the study on node importance.Aiming at the combat scenario of striking high-value targets in the air,the accuracy network model of combat system is built,the success rate of combat mission is corrected,and the screening of important nodes is realized.The simulation results show that this method has certain application value in the research of success rate of combat system mission.

关键词

作战体系/任务成功率/精度映射方法/影响网络/全局敏感性分析/节点重要度

Key words

combat system/mission success rate/precision mapping method/influence network/global sensitivity analysis/node importance

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基金项目

国家自然科学基金(11372080)

出版年

2024
指挥与控制学报

指挥与控制学报

CSTPCDCSCD北大核心
ISSN:
参考文献量43
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