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Volume 45 Issue 5
May  2023
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ZHAO Taifei, ZHANG Jianwei, RONG Kaixin, ZHANG Wen. Collision Avoidance Algorithm for UAV Formation Reconfiguration under UV Non-uniform Virtual Potential Field[J]. Journal of Electronics & Information Technology, 2023, 45(5): 1651-1659. doi: 10.11999/JEIT220442
Citation: ZHAO Taifei, ZHANG Jianwei, RONG Kaixin, ZHANG Wen. Collision Avoidance Algorithm for UAV Formation Reconfiguration under UV Non-uniform Virtual Potential Field[J]. Journal of Electronics & Information Technology, 2023, 45(5): 1651-1659. doi: 10.11999/JEIT220442

Collision Avoidance Algorithm for UAV Formation Reconfiguration under UV Non-uniform Virtual Potential Field

doi: 10.11999/JEIT220442
Funds:  The National Natural Science Foundation of China (61971345), The Key R & D Plan of Shaanxi Province (2021GY-044), Xi’an Beilin District Science and Technology Plan (GX1921), Yulin Science and Technology Project (2019-145), Xi’an Science Planning Project (CXY1835(4))
  • Received Date: 2022-04-13
  • Accepted Date: 2022-08-25
  • Rev Recd Date: 2022-08-23
  • Available Online: 2022-08-30
  • Publish Date: 2023-05-10
  • To address the path planning and inter-aircraft collision avoidance problems in Unmanned Aerial Vehicle (UAV) formation reconstruction in complex electromagnetic environment, the repulsion function is improved by using distance factor on the basis of traditional UV virtual potential field, and a non-uniform UV virtual potential field is constructed to assist UAVs in collision avoidance in this paper. The improved UV non-uniform virtual potential field can make the collision avoidance path of UAV smoother, and the UAV can fly a longer distance in the same time. In addition, the distance between UAVs is calculated by the wireless ultraviolet ranging method, and the traditional artificial potential field method is improved by combining the ultraviolet non-uniform potential field to realize the formation reconstruction of UAVs. Simulation results show that this algorithm can effectively solve the path oscillation and local minimum problems under the traditional algorithm, while the collision avoidance efficiency is significantly improved compared with the traditional artificial potential field algorithm, and the distance is shortened by 6% in the preset environment while the time to reach the target point is advanced by 40%. The results show that the algorithm can effectively achieve the expected inter-aircraft collision avoidance effect in UAV formation reconstruction.
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  • [1]
    沈林成, 牛轶峰, 朱华勇. 多无人机自主协同控制理论与方法[M]. 北京: 国防工业出版社, 2013: 1–9.

    SHEN Lincheng, NIU Yifeng, and ZHU Huayong. Theories and Methods of Autonomous Cooperative Control for Multiple UAVs[M]. Beijing: National Defense Industry Press, 2013: 1–9.
    [2]
    KANG Yuhang, KUANG Yu, CHENG Jun, et al. Robust leaderless time-varying formation control for unmanned aerial vehicle swarm system with Lipschitz nonlinear dynamics and directed switching topologies[J]. Chinese Journal of Aeronautics, 2022, 35(1): 124–136. doi: 10.1016/j.cja.2021.05.017
    [3]
    CHUNG S J, PARANJAPE A A, DAMES P, et al. A survey on aerial swarm robotics[J]. IEEE Transactions on Robotics, 2018, 34(4): 837–855. doi: 10.1109/TRO.2018.2857475
    [4]
    AYAWLI B B K, MEI Xue, SHEN Mouquan, et al. Mobile robot path planning in dynamic environment using Voronoi diagram and computation geometry technique[J]. IEEE Access, 2019, 7: 86026–86040. doi: 10.1109/ACCESS.2019.2925623
    [5]
    BAYILI S and POLAT F. Limited-Damage A*: A path search algorithm that considers damage as a feasibility criterion[J]. Knowledge-Based Systems, 2011, 24(4): 501–512.
    [6]
    BANSAL J C, GOPAL A, and NAGAR A K. Stability analysis of Artificial Bee Colony optimization algorithm[J]. Swarm and Evolutionary Computation, 2018, 41: 9–19. doi: 10.1016/j.swevo.2018.01.003
    [7]
    GAO Chen, ZHEN Ziyang, and GONG Huajun. A self-organized search and attack algorithm for multiple unmanned aerial vehicles[J]. Aerospace Science and Technology, 2016, 54: 229–240. doi: 10.1016/j.ast.2016.03.022
    [8]
    SHAO S, PENG Y, HE C, et al. Efficient path planning for UAV formation via comprehensively improved particle swarm optimization[J]. ISA transactions, 2020, 97: 415–430.
    [9]
    WU E, SUN Y, HUANG J, et al. Multi uav cluster control method based on virtual core in improved artificial potential field[J]. IEEE Access, 2020, 8: 131647–131661.
    [10]
    SUN Hang, QI Juntong, WU Chong, et al. Path planning for dense drone formation based on modified artificial potential fields[C]. The 39th Chinese Control Conference (CCC), Shenyang, China, 2020: 4658–4664.
    [11]
    GARG K K, SHAIK P, and BHATIA V. Performance analysis of cooperative relaying technique for non-line-of-sight UV communication system in the presence of turbulence[J]. Optical Engineering, 2020, 59(5): 055101. doi: 10.1117/1.OE.59.5.055101
    [12]
    ZHENG Xuan, TANG Yanfeng, DU Jingyi. Analysis of transmission characteristics of non-line-of-sight ultraviolet light under complex channel conditions[J]. MATEC Web of Conferences, 2021, 336(2): 1–7.
    [13]
    赵太飞, 王晶, 张杰, 等. 蛙人协作中的水下无线光通信邻居发现方法[J]. 光学学报, 2018, 38(12): 1206002.

    ZHAO Taifei, WANG Jing, ZHANG Jie, et al. Neighbor Discovery Method for Frogmen Cooperation in Underwater Wireless Optical Communication[J]. Acta Optica Sinica, 2018, 38(12): 1206002.
    [14]
    ZHAO Taifei, XIE Ying, XU Shan, et al. Flocking of UAV formation with wireless ultraviolet communication[J]. Wireless Personal Communications, 2020, 114(3): 2551–2568. doi: 10.1007/s11277-020-07489-7
    [15]
    XU Zhengyuan. Approximate performance analysis of wireless ultraviolet links[C]. 2007 IEEE International Conference on Acoustics, Speech and Signal Processing-ICASSP'07, Honolulu, USA, 2007: III-577–III-580.
    [16]
    赵太飞, 余叙叙, 包鹤, 等. 无线日盲紫外光测距定位方法[J]. 光学 精密工程, 2017, 25(9): 2324–2332. doi: 10.3788/OPE.20172509.2324

    ZHAO Taifei, YU Xuxu, BAO He, et al. Ranging and positioning method using wireless solar blind ultraviolet[J]. Optics and Precision Engineering, 2017, 25(9): 2324–2332. doi: 10.3788/OPE.20172509.2324
    [17]
    Vasilyev G S, Kuzichkin O R, Surzhik D I. Performance analysis of MIMO communication system with NLOS UV channel[J]. Photonics Letters of Poland, 2020, 12(4): 91–93.
    [18]
    ZHAO Taifei, XIE Ying, LIU Xue, et al. Research on novel fountain code for UAV formation flight control in UV communication[C]. The 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE), Xi'an, China, 2017: 120–123.
    [19]
    邓婉, 王新民, 王晓燕, 等. 无人机编队队形保持变换控制器设计[J]. 计算机仿真, 2011, 28(10): 73–77.

    DENG Wan, WANG Xinmin,WANG Xiaoyan, et al. Controller design of UAVs formation keep and change[J]. Computer Integrated Manufacturing Systems, 2011, 28(10): 73–77.
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