基于对局迭代的无人机空战博弈研究  

UAV Air Combat Game Based on Iteration Method

作　　者：刘昊天 王玉惠[1] 陈谋[1] 张逸航 LIU Haotian;WANG Yuhui;CHEN Mou;ZHANG Yihang(College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211000,China)

机构地区：[1]南京航空航天大学自动化学院,南京211000

出　　处：《电光与控制》2022年第2期1-6,共6页Electronics Optics & Control

基　　金：科技创新2030-“新一代人工智能”重大项目(2018AA0100805)。

摘　　要：基于对局迭代对多无人机协同空战博弈决策问题进行了研究。首先,根据敌我双方作战态势和效能参数信息,利用矩阵对策法建立敌我双方对抗支付博弈模型,得到支付矩阵;然后,根据混合策略纳什均衡的定义及其推导过程给出了使用对局迭代求解空战博弈混合策略纳什均衡的方法与求解步骤;最后,通过仿真实例验证了该方法的可行性及有效性,为解决多无人机空战策略问题提供了有价值的参考。The decision-making problem of multi-UAV cooperative air combat based on game iteration is studied.Firstlybased on the combat situation of the two sides and effectiveness parametersthe matrix game method is used to establish the confrontation payoff game model of the two sides to obtain the payoff matrix.Thenaccording to the definition of the mixed strategy's Nash equilibrium and its derivation processthe method for solving the mixed strategy's Nash equilibrium in air combat using game iteration is obtained and the steps are given.Finallysimulation examples have verified the feasibility and effectiveness of the methodwhich provides a valuable reference for solving multi-UAV air combat strategies.

关 键 词：多无人机协同 空战 纳什均衡 矩阵对策法 对局迭代 

分 类 号：V249[航空宇航科学与技术—飞行器设计]