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飞行器博弈制导进程与展望OA北大核心CSTPCD

Analysis of the Progress of Aircraft Game Guidance

中文摘要英文摘要

博弈制导可处理复杂系统中涉及多方合作、竞争的动态问题,有利于实现智能化战场上信息价值最大化发挥,推动精确制导武器的智能化发展.本文总结了博弈制导的基本分类和建模方法,从终端角度约束、时间约束、过载约束、末速约束等方面提出了飞行器博弈制导的关键性问题,搭建了矩阵博弈、微分博弈两种典型博弈模型求解框架,从解析解、数值解、智能算法等方面对博弈制导的求解方法进行梳理.最后,从非线性微分博弈求解方法,非完备信息博弈算法,不均衡、非对称信息下多飞行器协同,多类型武器体系博弈等方向出发,对飞行器博弈制导未来的发展趋势进行了展望和总结.

Game guidance can handle dynamic problems involving multi-party cooperation and competition in com-plex systems,which is conducive to maximizing the value of information on intelligent battlefields and promoting the in-telligent development of precision guided weapons.This article summarizes the basic classification and modeling meth-ods of game guidance,and proposes key issues of aircraft game guidance from the perspectives of terminal constraints,time constraints,overload constraints,and terminal speed constraints.Two typical game model solving frameworks,matrix game and differential game are constructed,and the algorithm solutions of game guidance are sorted out from the perspectives of analytical solutions,numerical solutions,and intelligent algorithms.Finally,the future development trends of aircraft game guidance are discussed and summarized from the perspectives of nonlinear differential game sol-ving methods,incomplete information game algorithms,multi aircraft collaboration under unbalanced and asymmetric information,and multi type weapon system games.

郭建国;陆东陈;周敏

西北工业大学 精确制导与控制研究所,西安 710072

武器工业

博弈制导微分博弈矩阵博弈智能算法自适应算法

game guidancedifferential gamematrix gameintelligent algorithmsadaptive algorithm

《航空兵器》 2024 (002)

8-16 / 9

国家自然科学基金项目(61973254;62003270)

10.12132/ISSN.1673-5048.2024.0022

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