第8卷第2期 智能系统学报 Vol.8 No.2 2013年4月 CAAI Transactions on Intelligent Systems Apr.2013 D0I:10.3969/i.issn.16734785.201211031 网络出版t地址：htp://www.cnki.net/kcma/detail/23.1538.TP.20130401.1649.001.html 基于模糊规则和动态蚁群-贝叶斯网络的 无人作战飞机态势评估 段海滨，马冠军2，赵振宇3 (1.北京航空航天大学自动化科学与电气工程学院，北京100191；2.北京航天自动控制研究所，北京100854； 3.光电控制技术重，点实验室，河南洛阳471009) 摘要：为解决无人作战飞机复杂环境下的态势评估难题，阐述了蚁群优化和贝叶斯网络基本原理和数学模型，设 计了一种基于模糊规则和动态蚁群-贝叶斯网络的无人作战飞机态势评估方法.该方法通过蚁群-贝叶斯网络把不完 备数据转换成完备数据，从而大大简化了学习的复杂度，并保证算法能够向好的结构不断进化.利用模糊逻辑改进 动态蚁群贝叶斯网络算法，引入基于模糊语言和规则的专家经验，结合单值评估结果与概率向量，评价了不同时刻 无人作战飞机的行为能力等级，能够提高态势评估方法的智能性并应用于工程实际.通过仿真实验验证了该方法在 解决复杂作战环境下无人作战飞机态势评估问题时的可行性和有效性。 关键词：无人作战飞机；态势评估：模糊规则：蚁群优化：贝叶斯网络 中图分类号：TP18文献标志码：A文章编号：16734785(2013)02011909 UCAV situation assessment based on fuzzy rules and dynamic ant colony-Bayesian network DUAN Haibin',MA Guanjun2,ZHAO Zhenyu3 (1.School of Automation Science and Electrical Engineering,Beihang University,Beijing 100191,China;2.Beijing Aerospace Au- tomatic Control Institute,Beijing 100854,China;3.Science and Technology on Electro-Optic Control Laboratory,Luoyang 471009, China Abstract:In order to solve the challenging problem of unmanned combat aerial vehicles(UCAV)situation assess- ment in complex environments,based on the introduction of ant colony optimization,Bayesian network and mathe- matical model,a hybrid fuzzy rules and dynamic ant colony-Bayesian network was proposed in efforts to examine the situation assessment of UCAVs.The incomplete data was converted into a complete data packet by using a dynamic ant colony-Bayesian network,which can greatly simplify the complexity of learning,and ensure that the algorithm evolves into good structure.The dynamic ant colony-Bayesian network algorithm was improved by using fuzzy logic. The experts experience was adopted in the form of fuzzy language and rules.The single value assessment results were combined with the probability vector to evaluate the capacity level of UCAVs at different times,increase the intelligence of situation assessment,and practicality of engineering application.A series of experiments verified the feasibility and effectiveness of the proposed hybrid method for situation assessment of UCAVs in the complicated combat environment. Keywords:unmanned combat aerial vehicle (UCAV);situation assessment;fuzzy rules;ant colony optimization; Bayesian network 无人作战飞机(unmanned combat aerival vehi--置操纵的，具有攻击能力和能重复使用的不载人作 cle,UCAV)是利用无线电设备或自备程序控制装 战平台].无人作战飞机在未来战场中具有突出的 收稿日期：2012-11-19.网络出版日期：201304-01. 地位和作用，不仅可应用于智能监控和侦察、诱饵、 基金项目：国家自然科学基金资助项目(61273054,60975072)；航空 人工干扰、网点通信，还可对敌进行防空压制、防御 科学基金资助项目(20115151019). 攻击机/巡航导弹、攻击重要目标、进行边境巡逻 通信作者：段海滨.E-mail:hbduan@buaa.edu.cn. 等21.近年来，各国军队对先进无人作战飞机系统