无人机集群系统弹性研究

doi:10.3969/j.issn.1001-506X.2021.01.19

Abstract

Abstract:

In order to improve the ability of the unmanned aerial vehicle swarm (UAVS) to deal with disturbances such as severe weather, electronic jamming, component failure, etc., the UAVS disturbance scenarios are modeled, the concept and connotation of the UAVS resilience is proposed by referring to the concept of complex network resilience. By comparing with the robustness, reliability, invulnerability and other indicators, the significance of resilience for studying the characteristics of UAVS is explained. The performance curve and selected indicators of UAVS are analyzed, the quantitative indicator of resilience is depicted, and the methods for evaluating the resilience of UAVS system are proposed. The optimization strategy for UAVS system resilience is put forward from two spects of disturbance absorption and recovery. Finally, the development tendency of future research on the resilience of UAVS system is forecasted.

Key words: unmanned aerial vehicle swarm(UAVS), complex network, resilience, disturbance

CLC Number:

TP273

Lingfeng GU, Ming HE, Guoyou CHEN, Minhui JI, Jintao LIU. Research on unmanned aerial vehicle swarm system resilience[J]. Systems Engineering and Electronics, 2021, 43(1): 156-162.

Figures/Tables 3

References 64

1	梁晓龙, 张桂强, 吕娜. 无人机集群[M]. 西安: 西北工业大学出版社, 2018.
	LIANG X L , ZHANG G Q , LYU N . UAV Swarms[M]. Xi'an: Northwestern Polytechnic University Press, 2018.
2	段海滨, 张岱峰, 范彦铭, 等. 从狼群智能到无人机集群协同决策[J]. 中国科学:信息科学, 2019, 49 (1): 112- 118.
	DUAN H B , ZHANG D F , FAN Y M , et al. From wolf pack intelligence to UAV swarm cooperative decision-making[J]. SCIENTIA SINICA Informationis, 2019, 49 (1): 112- 118.
3	贾永楠, 田似营, 李擎. 无人机集群研究进展综述[J]. 航空学报, 2020, 41 (S1): 723738.
	JIA Y N , TIAN S Y , LI Q . The development of unmanned aerial vehicle swarms[J]. Acta Aeronautica ET Astronautica Sinica, 2020, 41 (S1): 723738.
4	GU J J , SU T , WANG Q H , et al. Multiple moving targets surveillance based on a cooperative network for multi-UAV[J]. IEEE Communications Magazine, 2018, 56 (4): 82- 89.
5	SUN Y P, WANG Z J, SU H S, et al.A brief overview of flocking control for multi-agent systems[C]//Proc.of the 11th International Conference on Intelligent Robotics and Applications, 2018: 48-58.
6	OH K K , PARK M C , AHN H S . A survey of multi-agent formation control[J]. Automatica, 2015, 53, 424- 440.
7	PENG R . Joint routing and aborting optimization of cooperative unmanned aerial vehicles[J]. Reliability Engineering and System Safety, 2018, 177, 131- 137.
8	CEKMEZ U, OZSIGINAN M, SAHINGOZ O K. Multi-UAV path planning with multi colony ant optimization[C]//Proc.of the 17th International Conference on Intelligent Systems Design and Applications, 2017: 407-417.
9	BERNARDINI S , FOX M , LONG D . Combining temporal planning with probabilistic reasoning for autonomous surveillance missions[J]. Autonomous Robots, 2015, 41 (1): 181- 203.
10	SAMPEDRO C, BAVLE H, SANCHEZ J L, et al. A flexible and dynamic mission planning architecture for UAV swarm coordination[C]//Proc.of the International Conference on Unmanned Aircraft Systems, 2016: 355-363.
11	LIU J J , WANG W P , LI X B , et al. Solving a multi-objective mission planning problem for UAV swarms with an improved NSGA-Ⅲ algorithm[J]. International Journal of Computational Intelligence Systems, 2018, 11 (1): 1067- 1081.
12	刘献伟, 陈虎林, 李飞, 等. 一网打尽——无人集群时代的新攻防[J]. 航空兵器, 2019, 26 (1): 70- 75.
	LIU X W , CHEN H L , LI F , et al. Catch all in nets: new attack and defense in the age of unmanned cluster[J]. Aero Weaponry, 2019, 26 (1): 70- 75.
13	王强.面向任务的多智能体系统抗毁性拓扑结构构建与群集控制[D].北京:北京理工大学, 2014.
	WANG Q. Task-oriented fault-tolerant topology and flocking control for multi-agent systems[D]. Beijing: Beijing Institute of Technology, 2014.
14	WANG X H , ZHANG Y , WANG L G , et al. Robustness evaluation method for unmanned aerial vehicle swarms based on complex network theory[J]. Chinese Journal of Aeronaut, 2020, 33 (1): 352- 364.
15	PETRITOLI E, LECCSE F, CIANI L. Reliability assessment of UAV systems[C]//Proc.of the IEEE International Workshop on Metrology for AeroSpace, 2017: 266-270.
16	CUI X Y, WANG S P, SHI S A, et al. A delay-based reliability assessment for multiUAV with time-varying topologies[C]//Proc.of the International Conference on Aircraft Utility Systems, 2018.
17	BAI G H , LI Y J , FANG Y N , et al. Network approach for resilience evaluation of a UAV swarm by considering communication limits[J]. Reliability Engineering and System Safety, 2020, 193, 106602.
18	CHENG C C , BAI G H , ZHANG Y A , et al. Resilience evaluation for UAV swarm performing joint reconnaissance mission[J]. Chaos, 2019, 29 (5): 053132.
19	WANG L , LU D , ZHANG Y , et al. A complex network theory-based modeling framework for unmanned aerial vehicle swarms[J]. Sensors, 2018, 18 (10): 3434.
20	何明,马子玉,刘锦涛,等.基于影响度介数中心性的多智能体牵制控制算法[J].控制与决策,已录用.
	HE M, MA Z Y, LIU J T, et al. Multi-agent pinning control algorithm based on betweenness centrality with influence degree[J]. Control and Decision, accepted.
21	陈旿, 范铭楷, 李泽宏, 等. 蜂群无人机系统的网络鲁棒性设计[J]. 系统工程与电子技术, 2019, 41 (11): 2633- 2640.
	CHEN W , FAN M K , LI Z H , et al. Design of network robustness for drone swarm system[J]. Systems Engineering and Electronics, 2019, 41 (11): 2633- 2640.
22	符小卫, 魏可, 李斌, 等. 基于联盟的无人机集群编队控制方法[J]. 系统工程与电子技术, 2019, 41 (11): 2559- 2572.
	FU X W , WEI K , LI B , et al. Formation control method of UAVs based on alliance[J]. Systems Engineering and Electronics, 2019, 41 (11): 2559- 2572.
23	OLFATI-SABER R . Flocking for multi-agent dynamic systems: algorithms and theory[J]. IEEE Trans.on Automatic Control, 2006, 51 (3): 401- 420.
24	SAMPEDRO C, BAVLE H, SANCHEZ-LOPEZ J L, et al. A flexible and dynamic mission planning architecture for UAV swarm coordination[C]//Proc.of the International Conference on Unmanned Aircraft Systems, 2016: 355-363.
25	LU G , ZHOU M T , NIU X Z , et al. A survey of proximity graphs in wireless networks[J]. Journal of Software, 2008, 19 (4): 888- 911.
26	CHEN P Y , HERO A O . Assessing and safeguarding network resilience to nodal attacks[J]. IEEE Communications Magazine, 2014, 52 (11): 138- 143.
27	HOSSEINI S , BARKER K , RAMIREZ-MARQUEZ J E . A review of definitions and measures of system resilience[J]. Reliability Engineering and System Safety, 2015, 145, 47- 61.
28	HOLLING C S . Resilience and stability of ecological systems[J]. Annual Review of Ecology and Systematics, 1973, 4, 1- 23.
29	FRANCIS R , BEKERA B . A metric and frameworks for resilience analysis of engineered and infrastructure systems[J]. Reliability Engineering and System Safety, 2014, 121, 90- 103.
30	TURNQUIST M , VUGRIN E . Design for resilience in infrastructure distribution networks[J]. Environment Systems and Decisions, 2013, 33 (1): 104- 120.
31	STERBENZ J P G , HUTCHISON D , CETINKAYA E K , et al. Resilience and survivability in communication networks: strategies, principles, and survey of disciplines[J]. Computer Networks, 2010, 54 (8): 1245- 1265.
32	颜炳莅.分形物流网络拓扑弹性研究[D].武汉:武汉理工大学, 2016.
	YAN B L. Research on topological resilience of fractal logistics networks[D]. Wuhan: Wuhan University of Technology, 2016.
33	GAO J , LIU X , LI D , et al. Recent progress on the resilience of complex networks[J]. Energies, 2015, 8 (10): 12187- 12210.
34	Department of Homeland Security. Critical infrastructure security and resilience functional relationships[R]. Washington DC: Department of Homeland Security, 2013.
35	TRAN H T , DOMERCANT J C , MAVRIS D N . A network-based cost comparison of resilient and robust system-of-systems[J]. Procedia Computer Science, 2016, 95, 126- 133.
36	孙强, 梁晓龙, 尹忠海, 等. UAV集群自组织飞行建模与控制策略研究[J]. 系统工程与电子技术, 2016, 38 (7): 1649- 1653.
	SUN Q , LIANG X L , YIN Z H , et al. UAV swarm self-organized flight modeling and control strategy[J]. Systems Engineering and Electronics, 2016, 38 (7): 1649- 1653.
37	BJERKNES J D , WINFIELD A F T . On fault tolerance and scalability of swarm robotic systems[M]. Heidelberg: Springer, 2013.
38	GAO C , ZHEN Z Y , GONG H J . A self-organized search and attack algorithm for multiple unmanned aerial vehicles[J]. Aerospace Science and Technology, 2016, 54, 229- 240.
39	TRAN H T , BALCHANOS M , DOMERCANT J C , et al. A framework for the quantitative assessment of performance-based system resilience[J]. Reliability Engineering and System Safety, 2016, 158, 73- 84.
40	WANG L Z, ZHAO X J, ZHANG Y, et al. Unmanned aerial vehicle swarm mission reliability modeling and evaluation method oriented to systematic and networked mission[J]. Chinese Journal of Aeronautics, accepted.
41	AKSARAY D , YASIN Y A , FERON E , et al. Message-passing strategy for decentralized connectivity maintenance in multiagent surveillance[J]. Journal of Guidance Control and Dynamics, 2013, 39 (3): 11153303.
42	KURDI H, HOW J, BAUTISTA G. Bio-inspired algorithm for task allocation in multi-UAV search and rescue missions[C]//Proc.of the AIAA Guidance, Navigation, and Control Conference, 2016.
43	NAJJAR W , GAUDIOT J L . Network resilience: a measure of network fault tolerance[J]. IEEE Trans.on Computers, 1990, 39 (2): 174- 181.
44	XIAO Y D , LAO S Y , HOU L L , et al. Mitigation of malicious attacks on network observation[J]. International Journal of Modern Physics C, 2015, 26 (10): 1550108.
45	BHATIA U , KUAMR D , KODRA E , et al. Network science based quantification of resilience demonstrated on the Indian Railways Network[J]. PlosOne, 2015, 10 (11): e0142890.
46	REED D A , KAPUR K C , CHRISTIE R D . Methodology for assessing the resilience of networked infrastructure[J]. IEEE Systems Journal, 2009, 3 (2): 174- 180.
47	CHEN S M , HUA Y X , ZHU Z M , et al. Fast flocking algorithm for multi-agent systems by optimizing local interactive topology[J]. Acta Automatica Sinica, 2015, 41 (12): 2092- 2099.
48	ZHAO H L , YANG H T , FU Y . Analysis method of resilience in networked command and control information system[J]. Journal of Command and Control, 2015, 1 (1): 14- 18.
49	MA S Q , DONG C Y , MA M Y , et al. Formation reconfiguration control of quadrotor UAVs based on adaptive communication topology[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44 (4): 841- 850.
50	BEKMEZCI I , SAHINGOZ O K , TEMEL Ș , et al. Flying ad-hoc networks (FANETs) : a survey[J]. Ad Hoc Networks, 2013, 11 (3): 1254- 1270.
51	XIONG F , LI A , WANG H , et al. An SDN-MQTT based communication system for battlefield UAV swarms[J]. IEEE Communications Magazine, 2019, 57 (8): 41- 47.
52	文少杰, 黄传河. FANET中时延感知的垮层优化方法[J]. 通信学报, 2018, 39 (4): 2018070.
	WEN S J , HUANG C H . Delay-aware cross-layer optimization method for FANET[J]. Journal on Communications, 2018, 39 (4): 2018070.
53	王凯, 刘树新, 陈鸿昶, 等. 一种基于节点间资源承载度的链路预测方法[J]. 电子与信息学报, 2019, 41 (5): 214- 223.
	WANG K , LIU S X , CHEN H X , et al. A new link prediction method for complex networks based on resources carrying capacity between nodes[J]. Journal of Electronics and Information Technology, 2019, 41 (5): 214- 223.
54	SHU J , LIU M L , SHANG Y Q , et al. Link quality prediction model based on Gaussian process regression[J]. Journal on Communications, 2018, 39 (7): 148- 156.
55	胡曦, 李喆, 刘军. 移动Ad hoc网络中基于链路和稳定性预测的按压路由协议[J]. 电子与信息学报, 2010, 32 (2): 284- 289.
	HU X , LI Z , LIU J . A link stability prediction-based on-demand routing protocol in mobile Ad hoc networks[J]. Journal of Electronics and Information Technology, 2010, 32 (2): 284- 289.
56	张薇玮, 丁文锐, 刘春辉. 复杂环境中无人机数据链干扰效果预测方法[J]. 系统工程与电子技术, 2016, 38 (4): 760- 766.
	ZHANG W W , DING W R , LIU C H . Prediction of interference effect on UAV data link in complex environment[J]. Systems Engineering and Electronics, 2016, 38 (4): 760- 766.
57	SHU J , ZHANG X P , LIU L L , et al. Multi-nodes link prediction method based on deep convolution neural networks[J]. Acta Electronica Sinica, 2018, 46 (12): 2970- 2977.
58	GONCALVES F J , PATEL A , BATISTA B L A , et al. A systematic technical survey of DTN and VDTN routing protocols[J]. Computer Standards and Interfaces, 2016, 48, 139- 159.
59	柳强, 何明, 刘锦涛, 等. 无人机"蜂群"的蜂拥涌现行为识别与抑制机理[J]. 电子学报, 2019, 47 (2): 374- 381.
	LIU Q , HE M , LIU J T , et al. A mechanism for identifying and suppressing the emergent flocking behaviors of UAV swarms[J]. Acta Electronica Sinica, 2019, 47 (2): 374- 381.
60	张飞, 陈卫东. 移动机器人编队自修复的切换拓扑控制[J]. 控制理论与应用, 2010, 27 (3): 289- 295.
	ZHANG F , CHEN W D . Switched topology control for self-healing of mobile robot formation[J]. Control Theoryand Applications, 2010, 27 (3): 289- 295.
61	何明, 梁文辉, 陈秋丽, 等. 水下水下移动无线传感器网络拓扑愈合与优化[J]. 控制与决策, 2015, 2, 251- 255.
	HE M , LIANG W H , CHEN Q L , et al. Topology self-healing algorithm of mobile underwater wireless sensor networks[J]. Control and Decision, 2015, 2, 251- 255.
62	AI-SHABI M A, HATAMLEH K S, ASAD A. UAV dynamics model parameters estimation techniques: a comparison study[C]//Proc.of the Applied Electrical Engineering and Computing Technologies, 2013.
63	CANTARELO O C, ROLLAND L, O'YOUNG S. Validation discussion of an unmanned aerial vehicle(UAV) using JSBSim flight dynamics model compared to Matlab/Simulink AeroSim blockset[C]//Proc.of the IEEE International Conference on Systems, Man, and Cybernetics, 2016: 3989-3994.
64	代波, 何玉庆, 谷丰, 等. 基于加速度反馈增强的旋翼无人机抗风扰控制[J]. 机器人, 2020, 42 (1): 79- 88.
	DAI B , HE Y Q , GU F , et al. Acceleration feedback enhanced controller for wind disturbance rejection of rotor unmanned aerial vehicle[J]. Robot, 2020, 42 (1): 79- 88.

任务	性能选取指标
任务	基础指标	体现方式	任务执行能力指标Q_P
联合侦察	信息交换能力Q_E	UAV通讯邻居数量	UAV数量、UAV侦察范围
战场监视	信息交换能力Q_E	最短路径长度、当前UAV数量、 UAV接收信息总量	——
搜索-救援	信息交换能力Q_E	——	幸存者数量、搜救时间等
搜索-攻击	信息交换能力Q_E	——	战场覆盖率、已发现目标的生存时间

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Research on unmanned aerial vehicle swarm system resilience

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