[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]

Research on UAV Cluster Control Technology

  • FEI Chen ,
  • ZHENG Han ,
  • ZHAO Liang
Expand
  • Armed Police Officer School,Hangzhou 311400,Zhejiang, China

Received date: 2022-10-26

  Online published: 2025-02-07

Abstract

UAV plays an extremely important role in military, civilian, future electronic warfare, and other fields. A single UAV often cannot meet actual needs. UAV clusters can not only make up for the inherent shortcomings of a single UAV in performing its tasks, but also achieve complementary capabilities and efficient task completion. At the same time, the collaborative control of UAV clusters can more rationally utilize and integrate resources to maximize overall benefits. Therefore, this article comprehensively analyzes and summarizes the centralized, distributed, and distributed control system structures of UAV cluster task allocation, and deeply analyzes and elaborates the task allocation methods, information transmission methods, advantages and disadvantages, and application scope of these three structures, providing a theoretical basis for the development of UAV cluster task allocation control. It can provide some reference significane of future unmanned aerial vehicle cluster control technology.

Cite this article

FEI Chen , ZHENG Han , ZHAO Liang . Research on UAV Cluster Control Technology[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2023 , 43(3) : 45 -55 . DOI: 10.15892/j.cnki.djzdxb.2023.03.007

[an error occurred while processing this directive]
[1]
GUPTA L, JAIN R, VASZKUN G. Survey of important issues in UAV communication networks[J]. IEEE Communications Surveys & Tutorials, 2015, 18(2): 1123-1152.

[2]
罗俊海, 王芝燕. 无人机探测与对抗技术发展及应用综述[J]. 控制与决策, 2022, 37(3): 530-544.

LUO J H, WANG Z Y. A review of development and application of UAV detection and counter technology[J]. Control and Decision, 2022, 37(3): 530-544.

[3]
NEX F, REMONDINO F. UAV for 3D mapping applications: a review[J]. Applied Geomatics, 2014, 6(1): 1-15.

[4]
温卓漫, 陈长泳, 张雁平. 军用无人机反制技术综述[J]. 电子信息对抗技术, 2022, 37(1): 21-26.

WEN Z M, CHEN C Y, ZHANG Y P. Review of military unmanned aircraft systems countermeasures technology[J]. Electronic Information Warfare Technology, 2022, 37(1): 21-26.

[5]
朱超磊, 袁成, 杨佳会. 2021年国外军用无人机装备技术发展综述[J]. 战术导弹技术, 2022(1): 38-45.

ZHU C L, YUAN C, YANG J H. Overview of the development of foreign military UAV systems and technology in 2021[J]. Tactical Missile Technology, 2022(1): 38-45.

[6]
闫超, 涂良辉, 王聿豪. 无人机在我国民用领域应用综述[J]. 飞行力学, 2022, 40(3): 1-18.

YAN C, TU L H, WANG Y H. Application of unmanned aerial vehicle in civil field in China[J]. Flight Dynamics, 2022, 40(3): 1-18.

[7]
黄明锐, 赵国林, 潘晓东. 无人机在蜂群作战中的应用与特点[J]. 军事文摘, 2022(21): 46-49.

HUANG M R, ZHAO G L, PAN X D. Application and characteristics of drones in swarm warfare[J]. Military Digest, 2022(21): 46-49.

[8]
刘梦, 马睿, 刘晨熙. 基于雾计算的智能无人机通信系统: 架构与关键技术[J]. 移动通信, 2023, 47(3): 19-24.

LIU M, MA R, LIU C X. Intelligent UAV communication system based on fog computing: architecture and key technologies[J]. Mobile Communications, 2023, 47(3): 19-24.

[9]
WU Q Q, ZENG Y, ZHANG R. Joint trajectory and communication design for multi-UAV enabled wireless networks[J]. IEEE Transactions on Wireless Communications, 2018, 17(3): 2109-2121.

[10]
ALZENAD M, EL-KEYI A, LAGUM F, et al. 3-D placement of an unmanned aerial vehicle base station (UAV-BS) for energy-efficient maximal coverage[J]. IEEE Wireless Communications Letters, 2017, 6(4): 434-437.

[11]
ORFANUS D, FREITAS E P D, ELIASSEN F. Self-organization as a supporting paradigm for military UAV relay networks[J]. IEEE Communications Letters, 2016, 20(4): 804-807.

[12]
ROBERGE V, TARBOUCHI M, LABONTé G. Fast genetic algorithm path planner for fixed-wing military UAV using GPU[J]. IEEE Transactions on Aerospace and Electronic Systems, 2018, 54(5): 2105-2117.

[13]
GUPTA P, PAREEK B, SINGAL G, et al. Edge device based military vehicle detection and classification from uav[J]. Multimedia Tools and Applications, 2022, 81(14): 19813-19834.

[14]
XIA C. Analysis on the construction of UAV emergency distribution force of the CAPF[J]. Academic Journal of Science and Technology, 2022, 2(3): 139-142.

[15]
GUPTA P, PAREEK B, SINGAL G, et al. Edge device based military vehicle detection and classification from UAV[J]. Multimedia Tools and Applications, 2022, 81(14): 19813-19834.

[16]
CHÁVEZ K. Learning on the fly: drones in the Russian-Ukrainian war[J]. Arms Control Today, 2023, 53(1): 6-11.

[17]
JIANG X, SHENG M, NAN Z, et al. Green UAV communications for 6G: A survey[J]. Chinese Journal of Aeronautics, 2022, 35(9): 19-34.

[18]
付振江, 罗俊松, 宁进, 等. 无人机集群通信的应用现状及展望[J]. 无线电工程, 2023, 53(1): 3-10.

FU Z J, LUO J S, NING J, et al. Application status and prospect of UAV swarm communications[J]. Radio Engineering, 2023, 53(1): 3-10.

[19]
张栋, 王孟阳, 唐硕. 面向任务的无人机集群自主决策技术[J]. 指挥与控制学报, 2022, 8(4): 365-377.

ZHANG D, WANG M Y, TANG S. Autonomous decision-making technology for task-oriented UAV swarm[J]. Journal of Command and Control, 2022, 8(4): 365-377.

[20]
王璐菲. 美智库通过作战模拟分析无人机的军事与政治影响[J]. 防务视点, 2016(11): 22-23.

WANG L F. US think tanks analyze the military and political impact of drones through combat simulation[J]. Defense Point, 2016(11): 22-23.

[21]
方荣辉, 杨淑群, 兰宁. 基于数字孪生的无人机巡航系统[J]. 制造业自动化, 2022, 44(11): 98-101.

FANG R H, YANG S Q, LAN N. UAV cruise system based on digital twin[J]. Manufacturing Automation, 2022, 44(11): 98-101.

[22]
陈士涛, 李大喜, 孙鹏. 美军智能无人机集群作战样式及影响分析[J]. 中国电子科学研究院学报, 2021, 16(11): 1113-1118.

CHEN S T, LI D X, SUN P. Analysis on the development and influence of intelligent unmanned aerial vehicle cluster in U.S. army[J]. Journal of China Academy of Electronics and Information Technology, 2021, 16(11): 1113-1118.

[23]
VAIGANDLA K, THATIPAMULA S, KARNE R K. Investigation on unmanned aerial vehicle (UAV): an overview[J]. IRO Journal on Sustainable Wireless Systems, 2022, 4(3): 130-148.

[24]
NURHUDA N, ANWAR S, HS R E. Optimization of unmanned aerial vehicle (UAV) development in the defense industry related to future defense and security needs[J]. Budapest International Research and Critics Institute Journal(Humanities and Social Sciences), 2022, 5(1): 2466-2477.

[25]
朱孟真, 陈霞, 刘旭, 等. 战术激光武器反无人机发展现状和关键技术分析[J]. 红外与激光工程, 2021, 50(7): 13.

ZHU M Z, CHEN X, LIU X, et al. Situation and key technology of tactical laser anti-UAV[J]. Infrared and Laser Engineering, 2021, 50(7): 181-193.

[26]
MAZAHERIFAR A, MOSTAFAVI S. UAV placement and trajectory design optimization: a survey[J]. Wireless Personal Communications, 2022, 124(3): 2191-2210.

[27]
SARASWAT D, BHATTACHARYA P, SINGH A, et al. Secure 5G-assisted UAV access scheme in IoBT for region demarcation and surveillance operations[J]. IEEE Communications Standards Magazine, 2022, 6(1): 58-66.

[28]
THARUN V, PARTHIBAN S, MARRY T B, et al. Future trends and challenges of UAV: conclusion[J]. Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques, 2022, 36(9): 241-249.

[29]
LUO Y D, FAN H. The development and application of china military uav[C]// AEMCSE. Proceedings of the 2019 International Conference of Advanced Electrical, Mechatronics an Computer Engineering. New York: IEEE, 2019, 145: 155-168.

[30]
HAN Y, LIU T, LI Y. Typical representative and trend of military UAV[J]. International Core Journal of Engineering, 2020, 6(5): 253-257.

[31]
XIA C. Analysis on the construction of UAV emergency distribution force of the CAPF[J]. Academic Journal of Science and Technology, 2022, 2(3): 139-142.

[32]
周绍磊, 尹高扬, 雷肖剑, 等. 基于冗余集中式的多无人机协同多任务分配[J]. 战术导弹技术, 2016(3): 58-64.

ZHOU S L, YIN G Y, LEI X J, et al. Multiple task assignments for cooperating unmanned aerial vehicles using redundancy centralized calculation[J]. Tactical Missile Technology, 2016(3): 58-64.

[33]
向竹, 杨志伟, 杨克巍, 等. 基于双层稳定匹配的异构无人机集群“分布式”协同算法[J]. 控制与决策, 2022, 37(4): 871-880.

XIANG Z, YANG Z W, YANG K W, et al. “Decentralized”collaborative algorithm for heterogeneous UAV swarm based on bi-level stable matching[J]. Control and Decision, 2022, 37(4): 871-880.

[34]
肖宗豪, 张鹏, 迟文升, 等. 基于Agent与元胞自动机的无人机集群混合式控制[J]. 北京航空航天大学学报, 2021, 47(11): 2344-2359.

XIAO Z H, ZHANG P, CHI W S, et al. Hybrid control for UAV swarms based on Agent and cellular automata[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(11): 2344-2359.

[35]
蔺文轩, 谢文俊, 张鹏, 等. 基于群体智能算法的无人机协同搜索[J]. 电光与控制, 2022, 29(10): 34-38.

LIN W X, XIE W J, ZHANG P, et al. UAV cooperative search based on swarm intelligence algorithm[J]. Electronics Optics & Control, 2022, 29(10): 34-38.

[36]
HOU A C Y, SHIAU W L. Understanding Facebook to Instagram migration: a push-pull migration model perspective[J]. Information Technology & People, 2019, 33(1): 272-295.

[37]
赵民全. 基于改进遗传算法的多无人机协同任务规划[J]. 舰船电子对抗, 2020, 43(4): 44-47.

ZHAO M Q. Shipboard electronic countermeasure[J]. Shipboard Electronic Countermeasure, 2020, 43(4): 44-47.

[38]
周同乐, 陈谋, 朱荣刚, 等. 基于狼群算法的多无人机协同多目标攻防满意决策方法[J]. 指挥与控制学报, 2020, 6(3): 251-256.

ZHAO T L, CHEN M, ZHU R G, et al. Attack-defense satisficing decision-making of multi-UAVs cooperative multiple targets based on WPS algorithm[J]. Journal of Command and Control, 2020, 6(3): 251-256.

[39]
马铭希, 吴军, 岳龙飞, 等. 基于改进人工鱼群优化的蚁群算法无人机自主航路规划[J]. 兵器装备工程学报, 2022, 43(3): 257-265.

MA M X, WU J, YUE L F, et al. Autonomous route planning of UAV based on IAFSA-ACO[J]. Journal of Ordnance Equipment Engineering, 2022, 43(3): 257-265.

[40]
赵志, 段炼, 路东林, 等. 基于蚁群算法的无人机三维路径规划与冲突解脱[J]. 航空计算技术, 2022, 52(4): 33-37.

ZHAO Z, DUAN L, LU D L, et al. Ant colony algorithm based 3D path planning and conflict resolution for UAV[J]. Aeronautical Computing Technique, 2022, 52(4): 33-37.

[41]
邵士凯, 石伟龙, 杜云. 基于粒子群算法的固定时间多约束无人机轨迹规划[J]. 河北科技大学学报, 2022, 43(3): 259-267.

SHAO S K, SHI W L, DU Y. Fixed time multi-constraint UAV trajectory planning based on particle swarm optimization[J]. Journal of Hebei University of Science and Technology, 2022, 43(3): 259-267.

[42]
WANG X K, WANG S H, ZHANG H Y, et al. The recommendation method for hotel selection under traveller preference characteristics: a cloud-based multi-criteria group decision support model[J]. Group Decision and Negotiation, 2021, 30(6): 1433-1469.

[43]
XIN L, SONG W, CAO Z G, et al. Multi-decoder attention model with embedding glimpse for solving vehicle routing problems[C]// AIAA. Proceedings of the AIAA Conference on Artificial Intelligence. Reston: AIAA, 2021: 12042-12049.

[44]
BAEK H K, LIM J S. Design of future UAV-relay tactical data link for reliable UAV control and situational awareness[J]. IEEE Communications Magazine, 2018, 56(10): 144-150.

[45]
WERNER A, KREUTZMANN L, STEPHANIE G, et al. The new quality of aviation unmanned aerial vehicles (UAV) prevent psychological stress of military drone operators[J]. Clinical Medicine Research, 2020, 9(1): 25-30.

[46]
CUI J J, LIU Y W, NALLANATHAN A. Multi-agent reinforcement learning-based resource allocation for UAV networks[J]. IEEE Transactions on Wireless Communications, 2019, 19(2): 729-743.

[47]
YANG L, MENG F X, ZHANG J Y, et al. On the performance of RIS-assisted dual-hop UAV communication systems[J]. IEEE Transactions on Vehicular Technology, 2020, 69(9): 10385-10390.

[48]
BAEK J, HAN S I, HAN Y. Energy-efficient UAV routing for wireless sensor networks[J]. IEEE Transactions on Vehicular Technology, 2019, 69(2): 1741-1750.

[49]
LIU X, LIU Y W, CHEN Y. Machine learning empowered trajectory and passive beamforming design in UAV-RIS wireless networks[J]. IEEE Journal on Selected Areas in Communications, 2020, 39(7): 2042-2055.

[50]
LI M S, CHENG N, GAO J, et al. Energy-efficient UAV-assisted mobile edge computing: resource allocation and trajectory optimization[J]. IEEE Transactions on Vehicular Technology, 2020, 69(3): 3424-3438.

[51]
姚昌华, 胡程程, 张建照, 等. 无人机集群协同侦察覆盖分布式自主优化[J]. 国外电子测量技术, 2022, 41(8): 97-104.

YAO C H, HU C C, ZHANG J Z, et al. UAV cluster cooperative reconnaissance coverage based on distributed autonomous optimization[J]. Foreign Electronic Measurement Technology, 2022, 41(8): 97-104.

[52]
LI X, TAN J W, LIU A F, et al. A novel UAV-enabled data collection scheme for intelligent transportation system through UAV speed control[J]. IEEE Transactions on Intelligent Transportation Systems, 2020, 22(4): 2100-2110.

[53]
高岳林, 杨钦文. 新型群体智能优化算法综述[J]. 郑州大学学报(工学版), 2022, 43(3): 21-30.

GAO Y L, YANG Q W. Overview of new swarm intelligent optimization algorithms[J]. Journal of Zhengzhou University(Engineering Science), 2022, 43(3): 21-30.

[54]
YU Z, GONG Y M, GONG S M, et al. Joint task offloading and resource allocation in UAV-enabled mobile edge computing[J]. IEEE Internet of Things Journal, 2020, 7(4): 3147-3159.

[55]
田疆. 基于无人机航迹规划优化的几种新型仿生智能优化算法综述[J]. 兰州文理学院学报(自然科学版), 2017, 31(6): 80-85.

TIAN J. A review of several new bionic intelligence optimization algorithms based on UAV trajectory planning optimization[J]. Journal of Lanzhou University of Arts and Science (Natural Science Edition), 2017, 31(6): 80-85.

[56]
李迎春, 程建博, 于尧. 基于博弈论的无人机战场攻防策略求解模型[J]. 兵器装备工程学报, 2017, 38(6): 70-175.

LI Y C, CHENG J B, YU Y. Solving model of u nmanned aerial vehicle battle strategy based on game theory[J]. Journal of Ordnance Equipment Engineering, 2017, 38(6): 70-175.

[57]
张国印, 孟想, 李思照. 基于果蝇优化算法的无人机航路规划方法[J]. 无线电通信技术, 2021, 47(3): 344-352.

ZHANG G Y, MENG X, LI S Z. UAV path planning method based on fruit fly optimization algorithm[J]. Radio Communications Technology, 2021, 47(3): 344-352.

[58]
ZENG Y, XU X L, ZHANG R. Trajectory design for completion time minimization in UAV-enabled multicasting[J]. IEEE Transactions on Wireless Communications, 2018, 17(4): 2233-2246.

[59]
常松, 贾子彦. 基于改进合同网算法的多无人机任务分配[J]. 物联网技术, 2020, 10(5): 98-100.

CHANG S, JIA Z Y. Task allocation of multiple unmanned aerial vehicles based on improved contract network algorithm[J]. Internet of Things Technologies, 2018, 17(4): 2233-2246.

[60]
许可, 宫华, 秦新立, 等. 基于分布式拍卖算法的多无人机分组任务分配[J]. 信息与控制, 2018, 47(3): 341-346.

XU K, GONG H, QIN X L, et al. Multi-UAV task assignment for grouped tasks based on distribution auction algorithm[J]. Information and Control, 2018, 47(3): 341-346.

[61]
NIKOLOS I K, VALAVANIS K P, TSOURVELOUDIS N C, et al. Evolutionary algorithm based offline/online path planner for UAV navigation[J]. IEEE Transactions on Systems, Man and Cybernetics: Part B (Cybernetics), 2003, 33(6): 898-912.

[62]
ZHANG G C, WU Q Q, CUI M, et al. Securing UAV communications via joint trajectory and power control[J]. IEEE Transactions on Wireless Communications, 2019, 18(2): 1376-1389.

[63]
ZHOU Y, PAN C, YEOH P L, et al. Secure communications for UAV-enabled mobile edge computing systems[J]. IEEE Transactions on Communications, 2019, 68(1): 376-388.

[64]
ZHOU X B, WU Q Q, YAN S H, et al. UAV-enabled secure communications: joint trajectory and transmit power optimization[J]. IEEE Transactions on Vehicular Technology, 2019, 68(4): 4069-4073.

[65]
刘向东, 刘海阔, 杜长坤, 等. 基于多智能体系统的多航天器编队分布式姿态协同控制[J]. 上海航天(中英文), 2022, 39(4): 94-103.

LIU X D, LIU H K, DU C K, et al. Distributed Attitude cooperative control for multi-spacecraft formation based on multi-agent systems[J]. Aerospace Shanghai (Chinese & English), 2022, 39(4): 94-103.

[66]
TURNER D, LUCIEER A, WATSON C. An automated technique for generating georectified mosaics from ultra-high resolution unmanned aerial vehicle (UAV) imagery, based on structure from motion (SfM) point clouds[J]. Remote Sensing, 2012, 4(5): 1392-1410.

[67]
LIU Y W, QIN Z J, CAI Y L, et al. UAV communications based on non-orthogonal multiple access[J]. IEEE Wireless Communications, 2019, 26(1): 52-57.

DOI

[68]
GOERZEN C, KONG Z, METTLER B. A survey of motion planning algorithms from the perspective of autonomous UAV guidance[J]. Journal of Intelligent and Robotic Systems, 2010, 57(1): 65-100.

[69]
吴青坡, 周绍磊, 刘伟. 基于集散式模型预测控制的多无人机协同分区搜索[J]. 控制理论与应用, 2015, 32(10): 1414-1421.

WU Q P, ZHOU S L, LIU W. Multi-unmanned aerial vehicles cooperative search based on central-distributed model predictive control[J]. Control Theory & Applications, 2015, 32(10): 1414-1421.

[70]
刘洪基. 基于混沌PSO的大数据智能加权K均值聚类算法[J]. 计算机应用与软件, 2022, 39(4): 311-319.

LIU H J. Intelligent weighted K-means clustering algorithm for big data based on chaos PSO[J]. Computer Applications and Software, 2022, 39(4): 311-319.

[71]
钱鹏江, 王士同, 邓赵红. 大数据集快速均值漂移谱聚类算法[J]. 控制与决策, 2010, 25(9): 1307-1312.

QIAN P J, WANG S T, DENG Z H. Fast mean shift spectral clustering on large data sets[J]. Control and Decision, 2010, 25(9): 1307-1312.

[72]
薛丽香, 邱保志. 基于密度可达的多密度聚类算法[J]. 计算机工程, 2009, 35(17): 66-68.

DOI

XUE L X, QIU B Z. Density-reachable based clustering algorithm for multi-density[J]. Computer Engineering, 2009, 35(17): 66-68.

[73]
何庆, 易娜, 汪新勇, 等. 基于高斯混合模型的最大期望聚类算法研究[J]. 微型电脑应用, 2018, 34(5): 50-52.

HE Q, YI N, WANG X Y, et al. Research on maximum expected clustering algorithm based on Gaussian mixture model[J]. Microcomputer Applications, 2018, 34(5): 50-52.

[74]
杨思明, 单征, 丁煜, 等. 深度强化学习研究综述[J]. 计算机工程, 2021, 47(12): 19-29.

DOI

YANG S M, SHAN Z, DING Y, et al. Survey of research on deep reinforcement learning[J]. Computer Engineering, 2021, 47(12): 19-29.

DOI

[75]
ZHANG Y, SUN P, YIN Y H, et al. Human-like autonomous vehicle speed control by deep reinforcement learning with double Q-learning[C]// IEEE. Proceedings of the 2018 IEEE Intelligent Vehicles Symposium. New York: IEEE, 2018: 1251-1256.

[76]
徐帷, 卢山. 基于Sarsa(λ)强化学习的空间机械臂路径规划研究[J]. 宇航学报, 2019, 40(4): 435-443.

XU W, LU S. Analysis of space manipulator route planning based on sarsa (λ) reinforcement learning[J]. Journal of Astronautics, 2019, 40(4): 435-443.

[77]
李延儒, 左铁东, 王婧. 基于DQN深度强化学习的无人机智能航路规划方法研究[J]. 电子技术与软件工程, 2022(18): 5-8.

LI Y R, ZUO T D, WANG J. Research on drone intelligent route planning method based on DQN deep reinforcement learning[J]. Electronic Technology & Software Engineering, 2022(18): 5-8.

[78]
XU Y H, YANG C C, HUA M, et al. Deep deterministic policy gradient (DDPG)-based resource allocation scheme for NOMA vehicular communications[J]. IEEE Access, 2020, 8: 1-1.

[79]
费陈, 郑晗, 赵亮. 基于强化学习的无人机智能任务分配方法[J]. 弹箭与制导学报, 2022, 42(6): 61-67.

FEI C, ZHENG H, ZHAO L. Reinforcement learning-based intelligent task assignment method for unmanned aerial vehicles[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2022, 42(6): 61-67.

Outlines

/

[an error occurred while processing this directive]