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基于试探机动算法的专家系统优化方法
引用本文:王志刚,张杨,李自强. 基于试探机动算法的专家系统优化方法[J]. 飞机设计, 2021, 41(4): 15-19,42
作者姓名:王志刚  张杨  李自强
作者单位:(沈阳飞机设计研究所,辽宁沈阳110035)
摘    要:在进行无人机自主决策系统的设计中,专家系统方法是一种工程可行性高的常用设计方案.专家系统方法能够充分利用空战理论和专家经验,提供合理的建议.但是传统的专家系统在实际应用中,存在规则前件无法匹配规则而导致决策失败的问题,一定程度上限制了专家系统的应用范围.针对这一问题,提出了一种试探机动选择算法,该算法可以根据当前飞行状...

关 键 词:试探机动算法  自主决策  专家系统  OODA环  空战格斗
收稿时间:2021-03-21
修稿时间:2021-05-21

Expert System Optimization Method Based on TemptingManeuver Algorithm
WANG Zhigang,ZHANG Yang,LI Ziqiang. Expert System Optimization Method Based on TemptingManeuver Algorithm[J]. Aircraft Design, 2021, 41(4): 15-19,42
Authors:WANG Zhigang  ZHANG Yang  LI Ziqiang
Affiliation:(Shenyang Aircraft Design & Research Institute, Shenyang 110035 , China)
Abstract:In the design of unmanned aerial vehicle autonomous decision-making system ,expert sys.tem method is a common design scheme with high engineering feasibility. Expert system method canmake full use of air combat theory and expert experience and provide reasonable suggestion. Howev-er , in the practical application of the traditional expert system ,the problem that the previous parts ofthe rules cannot match the rules leads to the failure of the decision , which limits the application scopeof the expert system to a certain extent. Aiming at this problem ,presents a maneuvering selection al-gorithm , which can optimize the decision result of expert system rules without matching according tothe current flight status and the relative situation of the enemy and the enemy.
Keywords:tempting maneuver algorithm   autonomic decision-making   expert system   OODA   aircombat
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