针对集群攻击的飞行器智能协同拦截策略

doi:10.7527/S1000-6893.2023.28301

Abstract

Abstract:

The attack defense confrontation and interception between unmanned clusters is an important operational scenario in the future intelligent war. Aiming at the problem of cooperative interception of game confrontation against aircraft cluster attacks， a multi-agent deep reinforcement learning cooperative interception strategy based on the near end strategy optimization method is proposed. Combining the single agent near end strategy optimization algorithm with the centralized evaluation distributed execution algorithm architecture， a multi-agent reinforcement learning intelligent maneuver strategy is designed. On this basis， to solve the problem of slow algorithm convergence， the generalized dominance function is introduced to improve the convergence performance of the algorithm. Simulation results show that the multi aircraft intelligent cooperative interception strategy endows the UAV with the attribute of autonomous learning， which can intelligently and autonomously assign interception tasks according to the real-time battlefield situation， and improves the algorithm convergence rate by constraining the update range of the strategy. Through continuous iterative self-learning， this strategy can realize the autonomous optimization of game interception strategy. Improve collaborative interception efficiency by self-learning in different scenarios.

Key words: multi-target cooperative interception, proximal policy optimization, multi-agent reinforcement learning, centralized evaluation-distributed execution, deep learning

CLC Number:

V279

Shuyi GAO, Defu LIN, Duo ZHENG, Xinyu HU. Intelligent cooperative interception strategy of aircraft against cluster attack[J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(18): 328301-328301.

Figures/Tables 22

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参数	数值
PPO裁剪系数	0.2
熵奖励系数	0.02
GAE参数	0.98
衰减因子	0.998
神经网络优化器	Adam
Mini_batch数量	4
缓存区大小	4 096
学习率	0.000 3

场景	防御飞行器数量	进攻飞行器数量	防护目标数量
1	5	1	1
2	5	2	1
3	5	3	1
4	5	4	1

防御vs进攻	防御飞行器			进攻飞行器			目标位置/m
防御vs进攻	初始位置/m	初始速度 /（m·s^-1）	初始航向角 /rad	初始位置/m	初始速度 /（m·s^-1）	初始航向角 /rad	目标位置/m
5 vs 1	（74.8，101.5）	18.1	0.02	（578.2，321.3）	16.1	-2.18	（99.3，135.3）
	（69.4，95.6）	19.5	-0.34
	（98.7，100.5）	19.4	-0.29
	（81.9，63.5）	17.2	-0.47
	（76.7，151.5）	18.1	-0.26
5 vs 2	（-72.8，131.2）	17.3	-0.71	（187.2，-411.6）（-593，121.8）	18.7 19.3	2.33 -0.56	（33.5，145.3）
	（-87.3，56.9）	17.6	-1.28
	（-97.9，65.2）	18.1	3.27
	（-17.5，6.6）	18.7	2.75
	（-99.6，89.4）	15.9	2.91
5 vs 3	（-117.4，2.5）	17.9	0.71	（621.2，263.2）（93.7，-571.3）（-183.6，-493.2）	20.8 16.3 17.9	-2.38 1.58 1.33	（-21.7，112.7）
	（37.4，26.6）	17.5	0.14
	（87.7，71.5）	18.5	-1.41
	（56.9，47.5）	20.3	-1.87
	（57.7，-2.5）	16.1	-2.16
5 vs 4	（-31.4，39.5）	17.1	-0.41	（541.2，-188.5）（-331.8，531）（-119.2，-421.1）（468.4，438.2）	21.4 22.5 17.3 15.6	2.89 -1.16 1.36 -2.13	（-1.5，193.9）
	（-53.4，38.6）	16.8	-0.26
	（-19.7，12.5）	20.3	2.51
	（-135.9，40.5）	16.9	-1.86
	（-11.7，93.5）	20.5	1.13

防御方	智能任务分配
防御方	1架进攻	2架进攻	3架进攻	4架进攻
D-UAV1	A-UAV1	A-UAV2	A-UAV2	A-UAV1
D-UAV2	A-UAV1	A-UAV1	A-UAV1	A-UAV1
D-UAV3	A-UAV1	A-UAV2	A-UAV1	A-UAV2
D-UAV4	A-UAV1	A-UAV2	A-UAV2	A-UAV3
D-UAV5	A-UAV1	A-UAV2	A-UAV3	A-UAV4

防御vs进攻	成功率/%	平均脱靶量/m
5 vs 1	100	1.1
5 vs 2	84	1.7
5 vs 3	78	2.1
5 vs 4	70	2.8

Intelligent cooperative interception strategy of aircraft against cluster attack

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