• 中国科技核心期刊
  • Scopus收录期刊
  • DOAJ收录期刊
  • JST收录期刊
  • Euro Pub收录期刊
Turn off MathJax
Article Contents
WANG Yue, RAN Qili, ZHANG Yuanxu, TANG Qinghua, CHEN Guofang, Gao Jian. Dubins Path-based Dynamic Docking Trajectory Planning for Autonomous Underwater Vehicle[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2026-0088
Citation: WANG Yue, RAN Qili, ZHANG Yuanxu, TANG Qinghua, CHEN Guofang, Gao Jian. Dubins Path-based Dynamic Docking Trajectory Planning for Autonomous Underwater Vehicle[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2026-0088

Dubins Path-based Dynamic Docking Trajectory Planning for Autonomous Underwater Vehicle

doi: 10.11993/j.issn.2096-3920.2026-0088
  • Received Date: 2026-05-09
  • Accepted Date: 2026-06-25
  • Rev Recd Date: 2026-06-23
  • Available Online: 2026-11-05
  • The dynamic docking recovery of autonomous undersea vehicle (AUV) faces multiple challenges, including moving-target rendezvous, terminal attitude alignment, and acoustic positioning limitations. Existing trajectory planning methods struggle to simultaneously achieve time optimality and robustness under these constraints. To address these challenges, this paper proposes a time-optimal dynamic docking trajectory planning method based on Dubins paths. First, the mid-range guidance phase is formulated as a constrained shortest-path problem in the horizontal plane. By constructing a time residual function, the dynamic arrival point of the moving recovery platform is predicted, and a feasible Dubins path satisfying the minimum turning radius constraint of the AUV is solved. Second, an online replanning mechanism triggered by the beamwidth of the Ultra-Short Baseline (USBL) system is designed to suppress trajectory divergence caused by environmental disturbances and observation noise. Multi-scenario simulation results demonstrate that, compared with the traditional line-of-sight guidance method, the proposed approach enables effective tracking of the moving platform and terminal heading alignment under typical dynamic docking conditions, while maintaining good trajectory convergence and anti-interference capability under disturbances and measurement errors.

     

  • loading
  • [1]
    Wibisono A, Piran M J, Song H K, et al. A survey on unmanned underwater vehicles: challenges, enabling technologies, and future research directions[J]. Sensors, 2023, 23(17): 7321. doi: 10.3390/s23177321
    [2]
    高永宁, 周欢思. 水下航行器布放与回收现状及关键技术综述[J]. 数字海洋与水下攻防, 2025, 8(4): 437-444. doi: 10.19838/j.issn.2096-5753.2025.04.007

    Gao Y N, Zhou H S. Review of current status and key technologies of underwater vehicle deployment and recovery[J]. Digital Ocean & Underwater Warfare, 2025, 8(4): 437-444. doi: 10.19838/j.issn.2096-5753.2025.04.007
    [3]
    Rohan A, Tolie H F, Hasan M J, et al. Full autonomy in underwater robotics systems: A realistic prospect?[J]. Engineering Applications of Artificial Intelligence, 2025, 162: 112638. doi: 10.1016/j.engappai.2025.112638
    [4]
    Xu S, Jiang Y, Li Y, et al. A stereo visual navigation method for docking autonomous underwater vehicles[J]. Journal of Field Robotics, 2024, 41(2): 374-395. doi: 10.1002/rob.22269
    [5]
    孟令帅, 李明烁, 林扬, 等. 自主水下机器人布放回收技术综述[J]. 无人系统技术, 2024, 7(1): 1-19. doi: 10.19942/j.issn.2096-5915.2024.01.01

    Meng L S, Li M S, Lin Y, et al. Launch and recovery technology of autonomous underwater vehicle[J]. Unmanned Systems Technology, 2024, 7(1): 1-19. doi: 10.19942/j.issn.2096-5915.2024.01.01
    [6]
    Vishwakarma S, Bedmutha T, Patel D K, et al. A survey on sensor-based planning and control for unmanned underwater vehicles[PP/OL]. V1. arXiv (2026-04-05)[2026-05-03]. https://doi.org/10.48550/arXiv.2604.05003.
    [7]
    Liu J, Yu F, He B, et al. A review of underwater docking and charging technology for autonomous vehicles[J]. Ocean Engineering, 2024, 297: 117154. doi: 10.1016/j.oceaneng.2024.117154
    [8]
    Xie T, Li Y, Jiang Y, et al. Turning circle based trajectory planning method of an underactuated AUV for the mobile docking mission[J]. Ocean Engineering, 2021, 236: 109546. doi: 10.1016/j.oceaneng.2021.109546
    [9]
    He L, Xie M, Zhang Y. A review of path following, trajectory tracking, and formation control for autonomous underwater vehicles[J]. Drones, 2025, 9(4): 286. doi: 10.3390/drones9040286
    [10]
    Zhang W, Wu W, Teng Y, et al. An underwater docking system based on UUV and recovery mother ship: design and experiment[J]. Ocean Engineering, 2023, 281: 114767. doi: 10.1016/j.oceaneng.2023.114767
    [11]
    沈蔚, 丁子涵, 徐顾自. 融合人工势场与LOS导引的多艇协同控制方法设计[J]. 控制与决策, 2026, 41(3): 685-691. doi: 10.13195/j.kzyjc.2025.0421

    Shen W, Ding Z H, Xu G Z. Design of cooperative control method for multi-USVs based on fusion of artificial potential field and LOS guidance[J]. Control and Decision, 2026, 41(3): 685-691 doi: 10.13195/j.kzyjc.2025.0421
    [12]
    毕成, 段富海. 结合ILOS及IPID-GWO的无人水翼航行器路径跟踪优化[J]. 水下无人系统学报, 2025, 33(4): 648-656.

    Bi C, Duan F H. Path tracking optimization for unmanned hydrofoil vehicle based on ILOS and IPID-GWO[J]. Journal of Unmanned Undersea Systems, 2025, 33(4): 648-656.
    [13]
    Du B, Yang K, Zhang W, et al. Terminal line-of-sight angle-constrained target tracking guidance for unmanned surface vehicles[J]. IEEE Transactions on Vehicular Technology, 2024, 73(9): 12515-12529. doi: 10.1109/TVT.2024.3390001
    [14]
    Ghosh P, Mandal P. AUV way-point tracking at constant velocity: cross-track error(CTE) and line-of-sight(LOS) guidance[J]. Engineering Research Express, 2024, 6(2): 025501. doi: 10.1088/2631-8695/ad36b0
    [15]
    Yang Q, Liu H, Hong L, et al. Anti-disturbance control strategy in capture stage for AUV dynamic base docking with optical guided constraints[J]. Ocean Engineering, 2024, 311: 118946. doi: 10.1016/j.oceaneng.2024.118946
    [16]
    刘硼棚, 匡兵. 一种改进Dubins曲线的路径规划方法[J]. 机械设计与制造, 2026(4): 343-348. doi: 10.19356/j.cnki.1001-3997.20250919.011

    Liu P P, Kuang B. A path planning method to improve Dubins curve[J]. Machinery Design & Manufacture, 2026(4): 343-348. doi: 10.19356/j.cnki.1001-3997.20250919.011
    [17]
    Chitsaz H, LaValle S M, Balkcom D J, et al. Minimum wheel-rotation paths for differential-drive mobile robots[J]. The International Journal of Robotics Research, 2009, 28(1): 66-80. doi: 10.1177/0278364908096750
    [18]
    Dai N, Zhang Y, Yang C. An AUV underwater docking technology realization based on Dubins curve and improved virtual force field[C]//Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering, 2023: 1061-1068.
    [19]
    高剑, 刘富樯, 严卫生. 自主水下航行器回坞路径规划与跟踪控制[J]. 机械科学与技术, 2012, 31(5): 810-813,817. doi: 10.13433/j.cnki.1003-8728.2012.05.035

    Gao J, Liu F Q, Yan W S. Homing path planning and following control of an autonomous underwater vehicle[J]. Mechanical Science and Technology for Aerospace Engineering, 2012, 31(5): 810-813,817. doi: 10.13433/j.cnki.1003-8728.2012.05.035
    [20]
    Wang Q, Xu D, Liu X, et al. Trajectory planning method for formation rendezvous of underactuated multi-UUV under multiple constraints[J]. Journal of Marine Science and Engineering, 2024, 12(12): 2118. doi: 10.3390/jmse12122118
    [21]
    Zhang M, Cai W, Chen H. Automatic docking trajectory design-based time-varying-radius Dubins for unmanned surface vessel[J]. Applied Sciences, 2023, 13(3): 1583. doi: 10.3390/app13031583
    [22]
    时常鸣, 刘开周, 赵洋, 等. 面向AUV水下移动对接的实时路径规划方法[J]. 舰船科学技术, 2020, 42(9): 148-152.

    Shi C M, Liu K Z, Zhao Y, et al. Research on real-time path planning for AUV underwater mobile docking[J]. Ship Science and Technology, 2020, 42(9): 148-152.
    [23]
    Dai H, Zhang Y, Cui S, et al. Research on the control method for remotely operated vehicle active docking with autonomous underwater vehicles based on GFSMO-NMPC[J]. Journal of Marine Science and Engineering, 2025, 13(3): 601. doi: 10.3390/jmse13030601
    [24]
    Zhang Y, Gao J, Chen G, et al. Hierarchical model predictive control for safe docking to moving stations of underactuated autonomous underwater vehicles[J]. Ocean Engineering, 2026, 349: 123993. doi: 10.1016/j.oceaneng.2025.123993
    [25]
    陈杰, 赵斌, 王政陽, 等. 基于滚动时域决策的异构无人集群跨域协同搜索路径规划[J/OL]. 兵工学报, 2026-03-23. https://link.cnki.net/urlid/11.2176.tj.20260323.1532.002.

    Chen J, Zhao B, Wang Z Y, et al. Cross-domain cooperative search path planning for heterogeneous UAV swarms based on receding horizon decision-making[J/OL]. Acta Armamentarii, 2026-03-23. https://link.cnki.net/urlid/11.2176.tj.20260323.1532.002.
    [26]
    Wang Z, Xiang X, Xiong X, et al. Kalman filter-based acoustic guidance docking system for autonomous underwater vehicle[C]//International Conference on Intelligent Robotics and Applications, 2024: 68-79.
    [27]
    张晓飞, 辛明真, 隋海琛, 等. 基于交互式多模型卡尔曼滤波的AUV超短基线跟踪算法[J]. 水下无人系统学报, 2022, 30(1): 29-36.

    Zhang X F, Xin M Z, Sui H C, et al. AUV ultra-short baseline tracking algorithm based on interactive multi-model Kalman filter[J]. Journal of Unmanned Undersea Systems, 2022, 30(1): 29-36.
    [28]
    Zhang Y, Gao J, Chen Y, et al. Adaptive neural network control for visual docking of an autonomous underwater vehicle using command filtered backstepping[J]. International Journal of Robust and Nonlinear Control, 2022, 32(8): 4716-4738. doi: 10.1002/rnc.6051
    [29]
    Whitcomb L, Yoerger D, Singh H. Advances in Doppler-based navigation of underwater robotic vehicles[C]//Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No. 99CH36288C), 1999: 399-406.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(6)  / Tables(3)

    Article Metrics

    Article Views(42) PDF Downloads(0) Cited by()
    Proportional views
    Related
    Service
    Subscribe

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return