空战格斗飞行机动数据库建立及应用

doi:10.7527/S1000-6893.2022.27538

Abstract

Abstract:

The main challenges in autonomous air combat mission include complex environment， strong gaming， fast dynamics， insufficient information， and uncertain boundaries. Nowadays， artificial intelligence （especially human-machine collaborative intelligence） has provided a good opportunity for addressing these challenges. We thus constructed an Air Combat Engagement Database （ACED）. The ACED database is currently focused on Within-Visual-Range （WVR） air combat， which allocates the flight states and controls of experienced human pilots in WVR air combat missions. Based on this database， we first investigate the flight dynamics in air combat missions， and pro-pose that we should primarily analyze the roll angle and vertical load factor for researching the human pilot decision-making. The time window of pilot decision-making in WVR air combat is also studied， and the frequency of pilots maneuvering decision-making is analyzed by energy spectrum method. Moreover， the enemy aircraft trajectory prediction algorithm in WVR air combat is studied， the optimal key parameters of the algorithm are obtained for the trajectory prediction of different types of enemy aircraft. These illustrative applications verify the database established in this paper.

Key words: autonomous air combat, within-visual-range, human-machine collaboration, air combat engagement database, machine learning

CLC Number:

V249

Jinyi MA, Can WANG, Tao XUE, Jianliang AI, Yiqun DONG. Development and illustrative applications of an air combat engagement database[J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(S1): 727538-727538.

Figures/Tables 10

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机型	基本构型概述	空机重量/t	机翼载荷/（t·m^-2）	最大速度/（km·h^-1）	最大高度/km	推重比	累计飞行时长/min
F	中型双发舰载三代机	16.9	0.445	2 205	15.0	0.95	340.0
M1	单发三角翼二代机	8.8	0.383	2 237	18.7	0.70	108.8
M2	轻型双发三代机	14.9	0.392	2 400	18.0	1.09	122.4
S	重型双发三代机	24.9	0.402	2 120	17.3	1.00	108.8

多项式阶数	机型	最优采样周期/s	最优历史窗口/s	轨迹平均最大误差/m
1	M1	0.05	0.05	20.231 7
	M2	0.05	0.05	16.325 0
	S	0.05	0.05	12.652 0
2	M1	0.05	0.15	9.721 2
	M2	0.05	0.15	8.268 5
	S	0.05	0.10	7.608 5
3	M1	0.05	0.30	7.770 9
	M2	0.05	0.30	7.216 0
	S	0.05	0.30	6.798 8
4	M1	0.10	1.00	8.026 2
	M2	0.10	0.70	7.662 1
	S	0.10	1.10	7.252 8
5	M1	0.20	2.00	9.567 9
	M2	0.10	1.50	9.039 1
	S	0.15	2.10	8.544 1

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Development and illustrative applications of an air combat engagement database

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