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Rapid UAV Teaming Method Based on Dynamic Adjustment Strategy

  • MA Zhaochen , 1 ,
  • LIU Fengli , 1 ,
  • HAO Yongping 1 ,
  • WANG Junjie 2 ,
  • LI Meixuan 3
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  • 1 School of Mechanical Engineering,Shenyang Ligong University,Shenyang 110016, Liaoning, China
  • 2 School of Science, Shenyang Ligong University,Shenyang 110016, Liaoning, China
  • 3 School of Equipment Engineering, Shenyang Ligong University,Shenyang 110016, Liaoning, China

Received date: 2024-06-28

  Online published: 2025-09-22

Abstract

In response to the issue of extended convergence time in UAV forming a team due to interactive movements, a method has been proposed that allows for flexible adjustment of UAVs positions within the formation. This method iteratively recalculates the position of a virtual lead center based on the current positions of the UAVs, and utilizes a simulated annealing algorithm to optimize the positions of the UAVs relative to the virtual lead center, enabling flexible adjustment of their convergence expected positions. Based on the concept of artificial potential fields, a consistency formation control method with obstacle avoidance and collision prevention capabilities has been designed. Simulation results show that this method speeds up the recovery of formation states and maintains formation characteristics more effectively during obstacle avoidance compared to traditional methods.

Cite this article

MA Zhaochen , LIU Fengli , HAO Yongping , WANG Junjie , LI Meixuan . Rapid UAV Teaming Method Based on Dynamic Adjustment Strategy[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2025 , 45(4) : 547 -554 . DOI: 10.15892/j.cnki.djzdxb.2025.04.013

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[1]
刘树光, 刘荣华, 王欢, 等. 国外无人机集群协同控制技术新进展[J]. 飞航导弹, 2021(8): 24-31.

LIU S G, LIU R H, WANG H, et al. New advances in cooperative control technologies for foreign UAV swarms[J]. Aerodynamic Missile Journal, 2021(8): 24-31.

[2]
HE L L, BAI P, LIANG X L, et al. Feedback formation control of UAV swarm with multiple implicit leaders[J]. Aerospace Science and Technology, 2018, 72: 327-334.

[3]
ZHEN Z Y, TAO G, XU Y, et al. Multivariable adaptive control based consensus flight control system for UAVs formation[J]. Aerospace Science and Technology, 2019, 93: 105336.

[4]
苟进展, 梁天骄, 陶呈纲, 等. 基于一致性理论的无人机编队控制与集结方法[J]. 北京航空航天大学学报, 2024, 50(5): 1646-1654.

GOU J Z, LIANG T J, TAO C G, et al. Formation control and aggregation method of UAV based on consensus theory[J]. Journal of Beijing University of Aeronautics and Astronautics, 2024, 50(5): 1646-1654.

[5]
符小卫, 潘静. 无人机集群规避动态障碍物的分布式队形控制[J]. 系统工程与电子技术, 2022, 44(2): 529-537.

DOI

FU X W, PAN J. Distributed formation control of UAV swarm with dynamic obstacle avoidance[J]. Systems Engineering and Electronics, 2022, 44(2): 529-537.

DOI

[6]
闫为佳, 杨旗, 黄星卓, 等. 改进人工势场法解决局部最小值路径规划研究[J]. 组合机床与自动化加工技术, 2024(5): 36-39.

YAN W J, YANG Q, HUANG X Z, at al. Improving the APF to solve local minima research on path planning[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2024(5): 36-39.

[7]
朱创创, 梁晓龙, 孙强, 等. 无人机集群自组织避障建模与控制策略研究[J]. 飞行力学, 2018, 36(1): 46-51.

ZHU C C, LIANG X L, SUN Q, et al. Research on self-organized obstacle avoidance modelingand control strategy for UAV swarm[J]. Flight Dynamics, 2018, 36(1): 46-51.

[8]
ZHANG J L, YAN J G, ZHANG P, et al. Collision avoidance in fixed-wing UAV formation flight based on a consensus control algorithm[J]. IEEE Access, 2018, 6: 43672-43682.

[9]
WANG N, DAI J Y, YING J. UAV formation obstacle avoidance control algorithm based on improved artificial potential field and consensus[J]. International Journal of Aeronautical and Space Sciences, 2021, 22(6): 1413-1427.

[10]
徐星光, 王晓峰, 姚璐, 等. 固定翼无人机编队构型与通信拓扑优化[J]. 系统工程与电子技术, 2022, 44(9): 2936-2946.

DOI

XU X G, WANG X F, YAO L, et al. Formation configuration and communication topology optimization for fixed-wing UAVs[J]. Systems Engineering and Electronics, 2022, 44(9): 2936-2946.

DOI

[11]
DUAN H B, LUO Q N, SHI Y H. Hybrid particle swarm optimization and genetic algorithm for multi-UAV formation reconfiguration[J]. IEEE Computational Intelligence Magazine, 2013, 8(3): 16-27.

[12]
ZHANG J L, YAN J G, ZHANG P. Multi-UAV formation control based on a novel back-stepping approach[J]. IEEE Transactions on Vehicular Technology, 2020, 69(3): 2437-2448.

[13]
费思远, 鲜斌, 王岭. 基于群集行为的分布式多无人机编队动态避障控制[J]. 控制理论与应用, 2022, 39(1): 1-11.

FEI S Y, XIAN B, WANG L. Distributed formation control for multiple unmanned aerial vehicleswith dynamic obstacle avoidance based on the flocking behavior[J]. Control Theory & Applications, 2022, 39(1): 1-11.

[14]
CHAMSEDDINE A, ZHANG Y M, RABBATH C A. Trajectory planning and re-planning for fault tolerant formation flight control of quadrotor unmanned aerial vehicles[C]//2012 American Control Conference:Emerging Technologies in Control and Automation, July 27-29, 2012, Fairmont The Queen Elizabeth Hotel, Montreal, QC, Canada. Piscataway, NJ: IEEE, 2012: 3291-3296.

[15]
WANG Y Z, SHAN M, WANG D W. Motion capability analysis for multiple fixed-wing UAV formations with speed and heading rate constraints[J]. IEEE Transactions on Control of Network Systems, 2020, 7(2): 977-989.

[16]
郭冬冬. 无人机自主编队协同控制方法研究[D]. 成都: 电子科技大学, 2018.

GUO D D. Research on autonomous cooperative formation control for UAVs[D]. Chengdu: University of Electronic Science and Technology of China, 2018.

[17]
REN W, BEARD R W. Distributed consensus in multi-vehicle cooperative control[M]. London: Springer London, 2008.

[18]
朱旭. 基于信息一致性的多无人机编队控制方法研究[D]. 西安: 西北工业大学, 2014.

ZHU X. Research on multi-UAV formation control based on information consensus[J]. Xi'an: Northwestern Polytechnical University, 2014.

[19]
何庆, 吴意乐, 徐同伟. 改进遗传模拟退火算法在TSP优化中的应用[J]. 控制与决策, 2018, 33(2): 219-225.

HE Q, WU Y L, XU T W. Application of improved genetic simulated annealing algorithm in TSP optimization[J]. Control and Decision, 2018, 33(2): 219-225.

[20]
张建英, 赵志萍, 刘暾. 基于人工势场法的机器人路径规划[J]. 哈尔滨工业大学学报, 2006, 38(8): 1306-1309.

ZHANG J Y, ZHAO Z P, LIU D. Robot path planning based on artificial potential field method[J]. Journal of Harbin Institute of Technology, 2006, 38(8): 1306-1309.

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