无人机集群对地作战任务可靠性评估

doi:10.12305/j.issn.1001-506X.2023.09.38

Abstract

Abstract:

Aiming at the reliability assessment problem of unmanned aerial vehicle (UAV) swarm ground attack mission, considering the actual combat environment and mission planning, a reliability evaluation method suitable for specific mission scenarios is established. Firstly, a temporal heterogeneous network model of UAV swarm operation is established, and the mission planning and collaborative operation process of UAV swarm are simulated by temporal strike chain. Then, based on the continuous-time Markov chain (CTMC), a survival probability model of UAV swarm flying in the threat area is established. Furthermore, based on the combat capability and survival probability of UAV swarm, a mission reliability evaluation method is proposed. Finally, through case analysis, the practicability and rationality of the model are verified. The model takes into account the factors affecting the results of the battle is realistic, and provides a reference for UAV swarm mission reliability evaluation and decision-making.

Key words: unmanned aerial vehicle (UAV) swarm, ground operations, mission reliability, temporal heterogeneous combat networks, Markov survival probability

CLC Number:

V279

Xiaogang QI, Yutong ZHOU, Lifang LIU. Evaluation of the reliability of UAV swarm for ground combat missions[J]. Systems Engineering and Electronics, 2023, 45(9): 2971-2978.

Figures/Tables 12

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References 29

1	屈高敏, 董彦非, 岳源. 对地攻击型UAV作战效能评估[J]. 火力与指挥控制, 2016, 41 (4): 145- 149.
	QU G M , DONG Y F , YUE Y . Evaluation of combat effectiveness of ground attack UAV[J]. Fire Power and Command and Control, 2016, 41 (4): 145- 149.
2	ZHANG J L , YAN J G , ZHANG P . Multi-UAV formation control based on a novel back-stepping approach[J]. IEEE Trans.on Vehicular Technology, 2020, 69 (3): 2437- 2448. doi: 10.1109/TVT.2020.2964847
3	YUAN Z H , JIN J , SUN L L , et al. Ultra-reliable IoT communications with UAVs: a swarm use case[J]. IEEE Communications Magazine, 2018, 56 (12): 90- 96. doi: 10.1109/MCOM.2018.1800161
4	TARAPORE D , CHRISTENSEN A L , TIMMIS J . Generic, scalable and decentralized fault detection for robot swarms[J]. PloS One, 2017, 12 (8): e0182058. doi: 10.1371/journal.pone.0182058
5	ANDREWS J D , POOLE J , CHEN W H . Fast mission reliability prediction for unmanned aerial vehicles[J]. Reliability Engi-neering & System Safety, 2013, 120 (12): 3- 9.
6	PRESCOTT D , REMENYTE-PRESCOTT R , REED S , et al. A reliability analysis method using binary decision diagrams in phased mission planning[J]. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2009, 223 (2): 133- 143. doi: 10.1243/1748006XJRR202
7	PRESCOTT D , ANDREWS J , DOWNES C . Multiplatform phased mission reliability modelling for mission planning[J]. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2009, 223 (1): 27- 39. doi: 10.1243/1748006XJRR204
8	GUO J B , ELSAYED E A . Reliability of balanced multi-level unmanned aerial vehicles[J]. Computers and Operations Research, 2019, 106, 1- 13. doi: 10.1016/j.cor.2019.01.013
9	KRESS M , BAGGESEN A , GOFER E . Probability modeling of autonomous unmanned combat aerial vehicles(UCAVs)[J]. Mili- tary Operations Research, 2006, 11 (4): 5- 24. doi: 10.5711/morj.11.4.5
10	ZHONG Y , YAO P Y , ZHANG J Y , et al. Formation and adjustment of manned/unmanned combat aerial vehicle cooperative engagement system[J]. Journal of Systems Engineering and Electronics, 2018, 29 (4): 756- 767. doi: 10.21629/JSEE.2018.04.10
11	JIAO Z Q , YAO P Y , ZHANG J Y , et al. MAV/UAV task coalition phased-formation method[J]. Journal of Systems Engineering and Electronics, 2019, 30 (2): 402- 414. doi: 10.21629/JSEE.2019.02.18
12	ZHONG Y , YAO P Y , WAN L J , et al. Intervention decision-making in MAV/UAV cooperative engagement based on human factors engineering[J]. Journal of Systems Engineering and Electronics, 2018, 29 (3): 530- 538. doi: 10.21629/JSEE.2018.03.10
13	TRAN H T , DOMERCANT J C , MAVRIS D N . Evaluating the agility of adaptive command and control networks from a cyber complex adaptive systems perspective[J]. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 2015, 12 (4): 405- 422. doi: 10.1177/1548512915592517
14	郧奇佳, 宋笔锋, 裴扬. 基于Agent建模的机载激光武器系统作战效能影响因素分析[J]. 系统工程与电子技术, 2020, 42 (4): 826- 835.
	YUN Q J , SONG B F , PEI Y , et al. Analysis of the factors influencing the combat effectiveness of airborne laser weapon system based on agent modeling[J]. Systems Engineering and Electronics, 2020, 42 (4): 826- 835.
15	TRAN H T , DOMERCANT J C , MAVRIS D N . Evaluating the agility of adaptive command and control networks from a cyber complex adaptive systems perspective[J]. Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 2015, 12 (4): 405- 422. doi: 10.1177/1548512915592517
16	GAO Y , LIU H , ZHOU Y M . An evaluation method of combat aircraft contribution effectiveness based on mission success space design[J]. International Journal of Aeronautical and Space Sciences, 2019, 20 (1): 273- 286. doi: 10.1007/s42405-018-0111-6
17	刘文金, 裴扬, 葛玉雪, 等. 基于ABMS的对地攻击型UAV体系贡献率评估[J]. 航空学报, 2022, 43 (9): 436- 449.
	LIU J W , PEI Y , GE Y X , et al. System-of-systems contribution evaluation of ground-attack UCAV based on ABMS[J]. Chinese Journal of Aeronautics, 2022, 43 (9): 436- 449.
18	黄树彩, 谢家豪, 韦道知, 等. UAV集群作战中连续时间Markov链模型的求解方法[J]. 国防科技大学报, 2022, 44 (4): 43- 51.
	HUANG S C , XIE J H , WEI D Z , et al. Solution to continuous time Markov chain model for unmanned aerial vehicle swarm operation[J]. Journal of National University of Defense Technology, 2022, 44 (4): 43- 51.
19	WANG L Z , ZHAO X J , ZHANG Y , et al. Unmanned aerial vehicle swarm mission reliability modeling and evaluation met-hod oriented to systematic and networked mission[J]. Chinese Journal of Aeronautics, 2021, 34 (2): 466- 478. doi: 10.1016/j.cja.2020.02.026
20	XU B , LIU T , BAI G H , et al. A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity[J]. Reliability Engineering & System Safety, 2022, 219 (3): 108221.
21	DUI H Y , ZHANG C , BAI G H , et al. Mission reliability modeling of UAV swarm and its structure optimization based on importance measure[J]. Reliability Engineering & System Safety, 2021, 215 (11): 107879.
22	FENG Q , LIU M , DUI H Y , et al. Importance measure-based phased mission reliability and UAV number optimization for swarm[J]. Reliability Engineering & System Safety, 2022, 223 (7): 108478.
23	CARES J R. Information age combat model[C]//Proc. of the 9th International Command and Control Research and Techno-logy Symposium, 2014.
24	ZHANG S T , DOU Y J , ZHAO Q S . Evaluation of capability of weapon system of systems based on multi-scenario[J]. Advanced Materials Research, 2014, 3181 (926/930): 3806- 3811.
25	LI J C , ZHAO D L , JIANG J , et al. Capability oriented equipment contribution analysis in temporal combat networks[J]. IEEE Trans.on Systems, Man, and Cybernetics: Systems, 2021, 51 (2): 696- 704.
26	LOONEY C , LIANG L . Cognitive situation and threat assessments of ground battlespaces[J]. Information Fusion, 2003, 4 (4): 297- 308.
27	BOGUSLAVSKIY J A . Estimation of a matrix of intensities for model of Markov process[J]. Applied Mathematics and Computation, 2004, 166 (2): 282- 290.
28	YATES R , GOODMAN D . Probability and stochastic processes: a friendly introduction for electrical and computer engineers[M]. New York: John Wiley & Sons, 2005.
29	RICHARDS M . Fundamentals of radar signal processing[M]. New York: McGraw Hill, 2005.

链路类型	含义
T→S	侦察UAV对目标实施侦察或情报搜集
S→S	侦察UAV之间进行情报信息共享
S→D	侦察UAV将探测的信息上传到决策UAV
D→D	决策UAV通过信息交流进行信息共享
D→I	决策UAV向打击UAV发送打击指令
I→T	打击UAV对目标实施打击行动

目标	总编队数量
目标	2	3	4	5
T₁	1	2	2	3
T₂	1	1	2	2
T₃	1	1	2	2
T₄	1	2	2	3
T₅	1	2	2	3

装备	参数	取值
雷达区域	目标RCS σ₀/m²	5
	目标探测距离R₀/km	20
	目标探测概率P_d0	0.9
	探测虚警概率P_fa0	10^-6
	恒虚警处理参考单元数N	16
	搜索循环时间t_s/s	5
	预计形成追踪时间τ₂₃/s	10
	失去追踪时间τ₃₂/s	5
	遗忘时间τ₂₁/s	10
火力区域	最大射程R_h/km	10
	武器准备时间τ₃₄/s	5
	单发毁伤概率P_h	0.6
	发射间隔时间t_h/s	5
UAV	巡航速度/(km/s)	0.2
	巡航高度/km	9
	平均RCS σ_a/m²	1
	单机侦察能力p^s	0.1
	单机决策能力p^d	0.3
	单机打击能力p^I	0.2

[1]	Xuping GU, Daquan TANG. Hierarchical cooperative navigation of UAV swarm based on federated filtering algorithm [J]. Systems Engineering and Electronics, 2022, 44(3): 967-976.
[2]	Xingjia YANG, Keqing DUAN, Xiang LI, Wei QI. Resolving range ambiguity for cooperative detection using UAV swarms [J]. Systems Engineering and Electronics, 2022, 44(2): 480-489.
[3]	Xiaowei FU, Jing PAN. Distributed formation control of UAV swarm with dynamic obstacle avoidance [J]. Systems Engineering and Electronics, 2022, 44(2): 529-537.
[4]	Haojie YANG, Jianwei LYU, Yifan XU. Simulation assessment method for multi-state system reliability and mission success probability considering time-dependent faults [J]. Systems Engineering and Electronics, 2021, 43(8): 2362-2372.
[5]	Yang ZHANG, Guangya SI, Yanzheng WANG. Simulation of unmanned aerial vehicle swarm electromagnetic operation concept [J]. Systems Engineering and Electronics, 2020, 42(7): 1510-1518.
[6]	ZHANG Yang, SI Guangya, WANG Yanzheng. Modeling of cooperative target allocation of the UAV swarm cyberspace attack action [J]. Systems Engineering and Electronics, 2019, 41(9): 2025-2033.
[7]	GAO Yang, LI Dongsheng. Swarm situation perception consensus evaluation via intervalnumber Heronian operators with variable weights [J]. Systems Engineering and Electronics, 2019, 41(1): 89-95.
[8]	YAN Hua, WANG Yisheng, WANG Ruiqi, LIU Bo, GUO Liqing, XIAO Hua. Reliability parallel computing method for large phased-mission system based on GPU [J]. Systems Engineering and Electronics, 2019, 41(1): 215-222.
[9]	XU Shuang-wei， WU Xiao-yue. Mixed method for analyzing the reliability of TT&C mission [J]. Journal of Systems Engineering and Electronics, 2013, 35(3): 667-671.

Evaluation of the reliability of UAV swarm for ground combat missions

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