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智能化战术任务管理系统研究
引用本文:周锐,成晓静,余舟毅,陈宗基.智能化战术任务管理系统研究[J].北京航空航天大学学报,2005,31(8):858-862.
作者姓名:周锐  成晓静  余舟毅  陈宗基
作者单位:北京航空航天大学 自动化科学与电气工程学院, 北京 100083
基金项目:国家自然科学基金,航空科研项目
摘    要:从感知、评价、决策的认知过程研究了现代军机战术任务管理系统的结构、组成和功能,重点研究了态势评估和任务规划两个关键子系统.建立了基于贝叶斯网络和模糊逻辑推理的态势评估算法及威胁评估模型,采用贝叶斯网络对威胁级别进行了评估,运用模糊逻辑对各威胁源的相对重要性进行了推理,实现了对威胁源威胁级别和相对重要性的连续动态评估.研究了基于动态A*算法的战术飞机飞行路径在线实时规划问题,实现了态势评估与路径规划两子系统之间的集成.研究结果表明了该系统方案和算法的有效性,任务规划系统能够自适应战场态势的变化.

关 键 词:态势评估  路径规划  贝叶斯网络  模糊逻辑  动态A*算法
文章编号:1001-5965(2005)08-0858-05
收稿时间:2004-03-16
修稿时间:2004年3月16日

Intelligent tactical mission management system for combat aircraft
Zhou Rui,Cheng Xiaojing,Yu Zhouyi,Chen Zongji.Intelligent tactical mission management system for combat aircraft[J].Journal of Beijing University of Aeronautics and Astronautics,2005,31(8):858-862.
Authors:Zhou Rui  Cheng Xiaojing  Yu Zhouyi  Chen Zongji
Institution:School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
Abstract:An intelligent tactical mission management system for modern combat aircraft was proposed based on the cognitive decision process of perception, assessment and decision. As the key subsystems of the mission management system, the situation assessment and mission planning were investigated emphatically. The algorithm of situation assessment based on Bayesian networks and fuzzy logic was established. The model of threat level assessment was developed, based on which, the threat level of threater was assessed using Bayesian networks. The relative importance among the threaters was inferred by fuzzy logic. A novel algorithm of tactical flight path planning in real-time was developed based on dynamic A * algorithm. The two subsystems of situation assessment and flight path planning were integrated based on fuzzy logic to adapt the dynamic situations in battlefield. The simulation results show that the proposed intelligent tactical mission management system can assess the threat situations dynamically and can adapt the changing dynamic situations timely.
Keywords:situation assessment  path planning  Bayesian networks  fuzzy logic  dynamic A  * algorithm
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