智能机动突防策略研究进展  

Advances in the study of intelligent maneuver penetration strategy

作　　者：陈万春[1,2] 陈中原 龚晓鹏 CHEN Wanchun;CHEN Zhongyuan;CONG Xiaopeng(School of Astronautics,Beihang University,Beijing 102206,China;Key Laboratory of Spacecraft Design Optimization and Dynamic Simulation Technologies,Ministry of Education,Beijing 100191,China)

机构地区：[1]北京航空航天大学宇航学院,北京102206 [2]航天器设计优化与动态模拟技术教育部重点实验室,北京100191

出　　处：《飞行力学》2024年第5期1-9,共9页Flight Dynamics

基　　金：中央高校基本科研业务费专项资金资助(YWF-23-Q-1041)。

摘　　要：随着人工智能技术的发展,机动突防策略研究迎来了更多的可能性,也为未来复杂多变的战场环境提供了新的技术支撑。近年来,智能方法在协同拦截、机动突防等问题上得到了广泛的应用。在深入理解模型内在机理的基础上,将深度神经网络、强化学习等技术与最优机动、微分对策、高超声速飞行器纵程解析解等经典研究相结合,在智能制导方面取得了一系列相关成果。对相关研究进行了系统总结,为智能机动突防的实际应用打下了良好基础。With the extensive development of artificial intelligence technology,the study of maneu-ver penetration strategy ushers in more possibilities and provides new technical support for adapting to the complex and changing battlefield environment in the future.In recent years,intelligent meth-ods have been widely used to research issues such as cooperative interception and maneuver penetra-tion.Based on the in-depth understanding of the intrinsic mechanism of the model,a series of re-sults about intelligent guidance have been achieved by combining multiple technologies such as deep neural networks and reinforcement learning with classical researches on optimal maneuvering,differ-ential game,and analytical solution of hypersonic vehicle longitudinal range.A systematic summary of the relevant researches has been made,laying a solid foundation for the practical application of intelligent maneuver penetration.

关 键 词：最优机动突防 智能主动反拦截 强化学习协同制导 智能横程机动 

分 类 号：TJ765[兵器科学与技术—武器系统与运用工程]