基于多Agent的航空机群保障仿真评估分析

丁刚; 崔利杰; 韩诚; 王新河; 张峰

doi:10.13700/j.bh.1001-5965.2021.0685

基于多Agent的航空机群保障仿真评估分析

doi: 10.13700/j.bh.1001-5965.2021.0685

丁刚¹,
崔利杰^1, ,,
韩诚²,
王新河²,
张峰²

1.
空军工程大学装备管理与无人机工程学院，西安 710051
2.
西北工业大学力学与土木建筑学院，西安 710129

基金项目: 技术基础科研计划(212KJ43005)

详细信息

通讯作者:
E-mail：baffulo@sina.com

中图分类号: V221⁺.3；TB553
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出版历程
- 收稿日期: 2021-11-15
- 录用日期: 2022-03-04
- 网络出版日期: 2022-03-22
- 整期出版日期: 2023-10-01

Simulation evaluation and analysis of aircraft group support based on multi-agent

1.
School of Equipment Management and UAV Engineering，Air Force Engineering University，Xi’an 710051，China
2.
School of Mechanics，Civil Engineering and Architecture，Northwestern Polytechnical University，Xi’an 710129，China

Funds: Basic Scientific Research Program of Technology (212KJ43005)

More Information

Corresponding author: E-mail：baffulo@sina.com

摘要

摘要:
航空机群保障涉及要素广、策略多、交互性强，仿真分析方法是开展飞机保障决策与评估研究的热点和难点。提出一种机群保障仿真评估方法，建立多智能体(Agent)功能类型与交互关系模型；对多Agent结构进行定义，并建立模型；以五型飞机构成的航空机群为仿真对象，以任务成功率为保障指标进行案例验证与仿真计算分析。结果表明：各型飞机平均故障间隔时间（MTBF）、设备故障平均修复时间（MTTR）对任务成功率的影响总体趋势相似，随着MTBF的增加任务成功率提升，随着MTTR的增加任务成功率降低。所提方法能够为航空机群维修保障智能决策提供一种可行、有效的方法手段，支撑基于模型的智能决策优化实现。
- 航空机群 /
- 保障 /
- 多智能体 /
- 仿真评估 /
- 敏感性分析
Abstract:
Aircraft group support involves a wide range of elements, multiple strategies, and strong interaction. Its simulation analysis method is a hot and difficult point in conducting research on aircraft group support decision-making and evaluation. This paper first establishes the multi-agent function type and interaction relationship model; Secondly, defines the multi-agent structure and establish the model; Finally, Using the aircraft group consisting of five types of aircraft as the simulation object, the case validation and simulation analysis are conducted based on the mission success rate as the guarantee indicators. The results show that the mean time between failures (MTBF) and the mean time to repair (MTTR) of various types of fighters have similar effects on the mission success rate. As the MTBF increases, the mission success rate increases. As the MTTR increases, the mission success rate decreases. The proposed support simulation evaluation method can provide a feasible and effective method for the intelligent decision-making of aircraft group maintenance support, and support the realization of model-based intelligent decision-making optimization.
- aircraft group /
- support /
- multi-agent /
- simulation evaluation /
- sensitivity analysis

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图 1 设备保障Agent基本功能类型和交互关系

Figure 1. Basic function types and interaction relationships of equipment support Agent

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图 2 飞机选取Agent功能设计

Figure 2. Aircraft selection Agent function design

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图 3 航空机群Agent外部交互和内部工作原理

Figure 3. Aircraft group Agent external interaction and internal working principle

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图 4 保障监控Agent设计

Figure 4. Guarantee monitoring Agent design

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图 5 A型-MTBF和A型-MTTR步长5%任务成功率敏感性分析

Figure 5. Sensitivity analysis of A type-MTBF and A type-MTTR step size 5% mission success rate

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图 6 B型-MTBF和B型-MTTR步长5%任务成功率敏感性分析

Figure 6. Sensitivity analysis of B type-MTBF and B type-MTTR step size 5% mission success rate

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图 7 C型-MTBF和C型-MTTR步长5%任务成功率敏感性分析

Figure 7. Sensitivity analysis of C type-MTBF and C type-MTTR step size 5% mission success rate

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图 8 D型-MTBF和D型-MTTR步长5%任务成功率敏感性分析

Figure 8. Sensitivity analysis of D type-MTBF and D type-MTTR step size 5% mission success rate

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图 9 E型-MTBF和E型-MTTR 步长5%任务成功率敏感性分析

Figure 9. Sensitivity analysis of E type-MTBF , and E type-MTTR step size 5% mission success rate

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图 10 A型-MTBF-5%和A型-MTTR-20%步长任务成功率敏感性分析

Figure 10. Sensitivity analysis of A type-MTBF-5% and A type-MTTR-20% step size mission success rate

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图 11 B型-MTBF-5%、B型-MTTR-20%步长任务成功率敏感性分析

Figure 11. Sensitivity analysis of B type-MTBF-5% and B type-MTTR-20% step size mission success rate

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图 12 C型-MTBF-5%、C型-MTTR-20%步长任务成功率敏感性分析

Figure 12. Sensitivity analysis of C type-MTBF-5% and C type-MTTR-20% step size mission success rate

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图 13 D型-MTBF-5%、D型-MTTR-20%步长任务成功率敏感性分析

Figure 13. Sensitivity analysis of D type-MTBF-5% and D type-MTTR-20% step size mission success rate

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图 14 E型-MTBF-5%、E型-MTTR-20%步长任务成功率敏感性分析

Figure 14. Sensitivity analysis of E type-MTBF-5% and E type-MTTR-20% step size mission success rate

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图 15 综合敏感性分析图

Figure 15. Comprehensive sensitivity analysis chart

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表 1 仿真计算初始输入

Table 1. Initial input of simulation calculation

机型	数量/架	滞空时间/min	任务时间/min			构型要求（k/n）			MTBF/h	MTTR/h
机型	数量/架	滞空时间/min	第1阶段	第2阶段	第3阶段	第1阶段	第2阶段	第3阶段	MTBF/h	MTTR/h
A	3	210	12	8	6	1/2	1/2	2/3	[300,20]	[10,2]
B	10	210			6			7/10	[330,25]	[6,2]
C	16	90	12	8	6	5/8	7/10	10/16	[200,30]	[5,1]
D	8	180		8	6		4/6	6/8	[300,50]	[7,2]
E	6	210			6			4/6	[350,30]	[8,2]

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表 2 任务强度敏感性分析

Table 2. Mission intensity sensitivity analysis

类别	序号	敏感性因素	R		R变化幅度/%
类别	序号	敏感性因素	初始值	变化值	R变化幅度/%
各机型 MTBF	1	A型-MTBF增加20%（300~360）	0.48	0.526	9.6
	2	B型-MTBF增加20%（330~396）	0.48	0.52	8.3
	3	C型-MTBF增加20%（200~240）	0.48	0.53	10.4
	4	D型-MTBF增加20%（300~360）	0.48	0.58	20.8
	5	E型-MTBF增加20%（350~420）	0.48	0.49	2.1
各机型 MTTR	6	A型-MTTR增加20%（10~12）	0.48	0.44	−8.3
	7	B型-MTTR增加20%（6~7.2）	0.48	0.43	−10.4
	8	C型-MTTR增加20%（5~6）	0.48	0.42	−12.5
	9	D型-MTTR增加20%（7~8.4）	0.48	0.39	−18.8
	10	E型-MTTR增加20%（8~9.6）	0.48	0.41	−14.6
任务强度	11	A型飞机任务强度降低20%（2/3→1/3）	0.48	0.60	25.8
	12	B型飞机任务强度降低20%（5/10→4/10）	0.48	0.51	6.9
	13	C型飞机任务强度降低20%（4/10→3/10）	0.48	0.56	16.7
	14	D型飞机任务强度降低20%（6/8→5/8）	0.48	0.65	35.4
	15	E型飞机任务强度降低20%（4/6→3/6）	0.48	0.51	6.3
阶段任务时间	16	第1阶段时间减少20%（9.6 h）	0.48	0.52	8.3
	17	第2阶段时间减少20%（6.4 h）	0.48	0.50	4.2
	18	第3阶段时间减少20%（4.8 h）	0.48	0.49	2.1

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