Electronics Optics & Control, Volume. 30, Issue 4, 12(2023)

Path Planning of UAV Penetration Based on Improved Particle Swarm Optimization

ZHAO Diyu1... ZHENG Bin1,2, YIN Yunhua1,2, GUO Hualing1,2, CHEN Fei1 and FENG Guangyi1 |Show fewer author(s)
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    References(6)

    [1] [1] LEE K S, OVINIS M, NAGARAJAN T, et al.Autonomouspatrol and surveillance system using unmanned aerial vehicles[C]//IEEE 15th International Conference on Environment and Electrical Engineering.Rome:IEEE, 2015:1291-1297.

    [3] [3] SONG B D, PARK K, KIM J.Persistent UAV delivery logistics:MILP formulation and efficient heuristic[J].Computers & Industrial Engineering, 2018, 120:418-428.

    [4] [4] DENG C, WANG S, HUANG Z, et al.Unmanned aerial vehicles for power line inspection:a cooperative way in platforms and communications[J].Journal of Communications, 2014, 9(9):687-692.

    [5] [5] RADMANESH M, KUMAR M, GUENTERT P H, et al.Overview of path planning and obstacle avoidance algorithms for UAVs:a comparative study[J].Unmanned Systems, 2018, 6(2):95-118.

    [7] [7] QI B K, LI M Q, YANG Y, et al.Research on UAV path planning obstacle avoidance algorithm based on improved artificial potential field method[J].Journal of Physics:Conference Series, 2021, 1948:012060.

    [9] [9] LI B H, CHEN B D.An adaptive rapidly-exploring random tree[J].IEEE/CAA Journal of Automatica Sinica, 2022, 9(2):283-294.

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    ZHAO Diyu, ZHENG Bin, YIN Yunhua, GUO Hualing, CHEN Fei, FENG Guangyi. Path Planning of UAV Penetration Based on Improved Particle Swarm Optimization[J]. Electronics Optics & Control, 2023, 30(4): 12

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    Paper Information

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    Received: Mar. 28, 2022

    Accepted: --

    Published Online: Jun. 12, 2023

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2023.04.003

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