基于遗传模糊树的海空对抗无人机智能决策模型

doi:10.12305/j.issn.1001-506X.2022.12.20

Abstract

Abstract:

Owing to the continuous expansion of artificial intelligence technology, the development of autonomous intelligence of unmanned aerial vehicle (UAV) has become a research hotspot in the military field. Intelligent weapon decision-making ability is essential for UAV to successfully complete a reconnaissance task in the face of severe fire attack from warships. In view of this difficulty in military application, the improved genetic fuzzy tree is used to build a UAV intelligent weapon decision model, so as to realize the intelligent weapon decision of UAV. The parameter encoding method is improved by designing a parameter encoding method for three fuzzy subsets, thereby overcoming the system disorder caused by invalid encoding. The training method of combining single and combined scenes is used to improve the population training mode, which subsequently improves the adaptability of the decision-making model in diversified actual combat. The simulation results show that the proposed intelligent decision model of weapons has good effectiveness and flexibility.

Key words: genetic fuzzy tree, intelligent weapon decision-making, unmanned aerial vehicle (UAV), sea-to-air confrontation

CLC Number:

TP18

Yujia WANG, Wei FANG, Tao XU, Yingfu YU, Boyuan DENG. Intelligent decision-making model by unmanned aerial vehicles in sea-to-air confrontation based on genetic fuzzy trees[J]. Systems Engineering and Electronics, 2022, 44(12): 3756-3765.

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待编码变量	编码
AN	1	2	3
AT	m1	m2	m3

YE	KK
YE	1	2	3
1	n11	n12	n13
2	n21	n22	n23
3	n31	n32	n33

AN	DT
AN	1	2	3
1	o11	o12	o13
2	o21	o22	o23
3	o31	o32	o33

行动	计分
使用空空导弹	-2
使用诱饵弹	-0
每击中一个空中威胁	+10
任务成功(到达最后航路点)	+100
任务失败(被空中威胁击中)	-100

兵力	航行方向/(°)	航行速度/(m/s)	防空圈半径/km	发射导弹数量
舰船A	0	15	15	2
舰船B	0	10	20	2
舰船C	0	10	20	2
舰船D	0	15	15	2

Intelligent decision-making model by unmanned aerial vehicles in sea-to-air confrontation based on genetic fuzzy trees

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训练场景	任务1		任务2
训练场景	成功率/%	效果	成功率/%	效果
1	31	差	22	差
2	31	差	29	差
3	3	差	26	差

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