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智能机动突防策略研究进展

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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.
Advances in the study of intelligent maneuver penetration strategy
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.

optimal maneuver penetrationintelligent active anti-interceptionreinforcement learn-ing for cooperative guidanceintelligent cross-range maneuvering

陈万春、陈中原、龚晓鹏

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北京航空航天大学宇航学院,北京 102206

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

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

中央高校基本科研业务费专项资金资助

YWF-23-Q-1041

2024

飞行力学
中国飞行试验研究院

飞行力学

CSTPCD北大核心
影响因子:0.37
ISSN:1002-0853
年,卷(期):2024.42(5)