• 中国科学引文数据库（CSCD）
  • 中文科技期刊数据库
  • 中国核心期刊（遴选）数据库
  • 日本科学技术振兴机构数据库（JST）
  • 中国学术期刊（网络版）（CNKI）
  • 中国学术期刊综合评价数据库（CAJCED）
  • 中国超星期刊域出版平台
Advanced Search
GNSS World of China

GNSS World of China

Volume 48 Issue 4
Sep.  2023
Turn off MathJax
Article Contents
Abstract
References
XIONG Huajie, YU Baoguo, YI Qingwu, HE Chenglong. Research on UAVs cloud-end collaborative navigation control algorithm[J]. GNSS World of China, 2023, 48(4): 44-48, 56. DOI: 10.12265/j.gnss.2023050
Citation: XIONG Huajie, YU Baoguo, YI Qingwu, HE Chenglong. Research on UAVs cloud-end collaborative navigation control algorithm[J]. GNSS World of China, 2023, 48(4): 44-48, 56. DOI: 10.12265/j.gnss.2023050
shu

Research on UAVs cloud-end collaborative navigation control algorithm

  • State Key Laboratory of Satellite Navigation System and Equipment Technology, Shijiazhuang 050081, China

More Information
  • Received Date: March 20, 2023
  • Accepted Date: March 20, 2023
  • Available Online: August 21, 2023
    Graphical Abstract
    • Abstract
  • Conduct research on unmanned aerial vehicles (UAVs) navigation planning algorithms and strategies, based on the analysis of traditional path planning methods and classical particle swarm optimization (PSO), a UAVs cloud collaborative navigation control algorithm is proposed. The PSO in the UAV onboard part is improved, and the hybrid swarm intelligent algorithm in the cloud background part is designed and optimized. Simulation and actual test results show that the method is correct and feasible, and can improve the quality of UAVs navigation planning solution. Compared with other navigation planning methods, this method has obvious advantages in UAVs navigation.
    • FullText(HTML)
    • References (11)
  • [1]
    刘逸. 粒子群优化算法的改进及应用研究[D]. 西安: 西安电子科技大学, 2012: 6-9.
    [2]
    方群, 徐青. 基于改进粒子群算法的无人机三维航迹规划[J]. 西北工业大学学报, 2017, 35(1): 66-73.
    [3]
    秦赟. 基于改进粒子群算法的无人机航迹规划[D]. 成都: 电子科技大学, 2011: 37-38.
    [4]
    刘畅, 谢文俊, 张鹏, 等. 多基地多无人机航迹避障任务规划[J]. 计算机工程, 2019(11): 275-280.
    [5]
    欧阳志宏, 李修和. 基于任务区分的无人机航路规划方法[J]. 弹箭与制导学报, 2017, 37(3): 114-118. DOI: 10.15892/j.cnki.djzdxb.2017.03.029
    [6]
    CHEN Y B, LUO G C, MEI Y S, et al. UAV path planning using artificial potential field method updated by optimal control theory[J]. International journal of systems science, 2016, 47(6): 1407-1420. DOI: 10.1080/00207721.2014.929191
    [7]
    LIN Y C, SARIPALLI S. Sampling-based path planning for UAV collision avoidance[J]. IEEE transactions on intelligent transportation systems, 2017, 18(11): 3179-3192. DOI: 10.1109/TITS.2017.2673778
    [8]
    熊超, 解武杰, 董文瀚. 基于碰撞锥改进人工势场的无人机避障航路规划[J]. 计算机工程, 2018, 44(9): 314-320.
    [9]
    朱杰, 鲁艺, 张辉明. 突发威胁情况下的无人机航迹重规划[J]. 计算机工程与应用, 2018, 54(8): 255-259.
    [10]
    GIACOMIN P A S, HEMERLY E M. Reconfiguration between longitudinal and circular formations for multi-UAV systems by using segments[J]. Journal of intelligent & robotic systems, 2014, 78(2): 339-355. DOI: 10.1007/s10846-014-0063-4
    [11]
    WEN N F, SU X H, MA P J, et al. Online UAV path planning in uncertain and hostile environments[J]. International journal of machine learning and cybernetics, 2017, 8(2): 469-487. DOI: 10.1007/s13042-015-0339-4
    • Related Articles

  • Cited by

    Periodical cited type(0)

    Other cited types(1)

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (353) PDF downloads (45) Cited by(1)
    Related

    Copyright © 2009《 GNSS World of China 》 Editorial Office

    Address：84 Jianshe Dong Lu, Muye District, Xinxiang City, Henan Province, China China Pos：453000 Tel：0373-3712411 Fax：0373-3052232 E-mail:qqdwxt@126.com

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return