A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 10 Issue 5
May  2023

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 11.8, Top 4% (SCI Q1)
    CiteScore: 17.6, Top 3% (Q1)
    Google Scholar h5-index: 77, TOP 5
Turn off MathJax
Article Contents
Y. L. Yu, C. Guo, and T. S. Li, “Path following of underactuated autonomous surface vessels with surge velocity constraint and asymmetric saturation,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1343–1345, May 2023. doi: 10.1109/JAS.2023.123168
Citation: Y. L. Yu, C. Guo, and T. S. Li, “Path following of underactuated autonomous surface vessels with surge velocity constraint and asymmetric saturation,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1343–1345, May 2023. doi: 10.1109/JAS.2023.123168

Path Following of Underactuated Autonomous Surface Vessels With Surge Velocity Constraint and Asymmetric Saturation

doi: 10.1109/JAS.2023.123168
More Information
  • loading
  • [1]
    D. Belleter, M. A. Maghenem, C. Paliotta, and K. Y. Pettersen, “Observer based path following for underactuated marine vessels in the presence of ocean currents: A global approach,” Automatica, vol. 100, pp. 123–134, 2019. doi: 10.1016/j.automatica.2018.11.008
    [2]
    Z. Peng, J. Wang, D. Wang, and Q.-L. Han, “An overview of recent advances in coordinated control of multiple autonomous surface vehicles,” IEEE Trans. Industrial Informatics, vol. 17, no. 2, pp. 732–745, 2021. doi: 10.1109/TII.2020.3004343
    [3]
    N. Gu, D. Wang, Z. Peng, J. Wang, and Q.-L. Han, “Recent advances in line-of-sight guidance for path following of autonomous marine vehicles: An overview,” IEEE Trans. Systems,Man,Cybernetics: Systems, vol. 53, no. 1, pp. 12–28, 2023. doi: 10.1109/TSMC.2022.3162862
    [4]
    T. Li, R. Zhao, C. P. Chen, L. Fang, and C. Liu, “Finite-time formation control of under-actuated ships using nonlinear sliding mode control,” IEEE Trans. Cybernetics, vol. 48, no. 11, pp. 3243–3253, 2018. doi: 10.1109/TCYB.2018.2794968
    [5]
    S. R. Oh and J. Sun, “Path following of underactuated marine surface vessels using line-of-sight based model predictive control,” Ocean Engineering, vol. 37, pp. 289–295, 2010. doi: 10.1016/j.oceaneng.2009.10.004
    [6]
    L. Liu, D. Wang, and Z. Peng, “ESO-based line-of-sight guidance law for path following of underactuated marine surface vehicles with exact sideslip compensation,” IEEE J. Oceanic Engineering, vol. 42, no. 2, pp. 477–487, 2017. doi: 10.1109/JOE.2016.2569218
    [7]
    Z. Zheng and M. Feroskhan, “Path following of a surface vessel with prescribed performance in the presence of input saturation and external disturbances,” IEEE/ASME Trans. Mechatronics, vol. 22, no. 6, pp. 2564–2575, 2017. doi: 10.1109/TMECH.2017.2756110
    [8]
    T. I. Fossen, K. Y. Pettersen, and R. Galeazzi, “Line-of-sight path following for dubins paths with adaptive sideslip compensation of drift forces,” IEEE Trans. Control Syst. Technology, vol. 23, no. 2, pp. 820–827, 2015. doi: 10.1109/TCST.2014.2338354
    [9]
    Y. Yu, C. Guo, and H. Yu, “Finite-time PLOS-based integral sliding-mode adaptive neural path following for unmanned surface vessels with unknown dynamics and disturbances,” IEEE Trans. Automation Science Engineering, vol. 16, no. 4, pp. 1500–1511, 2019. doi: 10.1109/TASE.2019.2925657
    [10]
    Y. Yu, C. Guo, and T. Li, “Finite-time LOS path following of unmanned surface vessels with time-varying sideslip angles and input saturation,” IEEE/ASME Trans. Mechatronics, vol. 27, no. 1, pp. 463–474, 2022. doi: 10.1109/TMECH.2021.3066211
    [11]
    E. Peymani and T. I. Fossen, “Speed-varying path following for underactuated marine craft,” IFAC Proc. Volumes, vol. 46, no. 33, pp. 79–84, 2013. doi: 10.3182/20130918-4-JP-3022.00010
    [12]
    K. D. Do, Z. P. Jiang, and J. Pan, “Robust adaptive path following of underactuated ships,” Automatica, vol. 40, no. 6, pp. 929–944, 2004. doi: 10.1016/j.automatica.2004.01.021
    [13]
    M. Breivik, V. E. Hovstein, and T. I. Fossen, “Straight-line target tracking for unmanned surface vehicles,” Modeling,Identification Control, vol. 29, no. 4, pp. 131–149, 2008. doi: 10.4173/mic.2008.4.2
    [14]
    Z. Peng, J. Wang, and Q.-L. Han, “Path-following control of autonomous underwater vehicles subject to velocity and input constraints via neurodynamic optimization,” IEEE Trans. Industrial Electronics, vol. 66, no. 11, pp. 8724–8732, 2019. doi: 10.1109/TIE.2018.2885726
    [15]
    T. Li, R. Li, and J. Li, “Decentralized adaptive neural control of nonlinear interconnected large-scale systems with unknown time delays and input saturation,” Neurocomputing, vol. 74, no. 14–15, pp. 2277–2283, 2011. doi: 10.1016/j.neucom.2011.03.005
    [16]
    Y. Yang, J. Tan, and D. Yue, “Prescribed performance control of one-dof link manipulator with uncertainties and input saturation constraint,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 148–157, 2019. doi: 10.1109/JAS.2018.7511099
    [17]
    N. Zerari, M. Chemachema, and N. Essounbouli, “Neural network based adaptive tracking control for a class of pure feedback nonlinear systems with input saturation,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 278–290, 2019. doi: 10.1109/JAS.2018.7511255
    [18]
    Y. Su, Q. Wang, and C. Sun, “Self-triggered consensus control for linear multi-agent systems with input saturation,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 150–157, 2020. doi: 10.1109/JAS.2019.1911837
    [19]
    M. Chen, S. S. Ge, and B. V. E. How, “Robust adaptive neural network control for a class of uncertain MIMO nonlinear systems with input nonlinearities,” IEEE Trans. Neural Networks, vol. 21, no. 5, pp. 796–812, 2010. doi: 10.1109/TNN.2010.2042611
    [20]
    Z. Zheng, Y. Huang, L. Xie, and B. Zhu, “Adaptive trajectory tracking control of a fully actuated surface vessel with asymmetrically constrained input and output,” IEEE Trans. Control Syst. Technology, vol. 26, no. 5, pp. 1851–1859, 2018. doi: 10.1109/TCST.2017.2728518
    [21]
    Z. Li and J. Zhao, “Adaptive consensus of non-strict feedback switched multi-agent systems with input saturations,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 11, pp. 1752–1761, 2021. doi: 10.1109/JAS.2021.1004165
    [22]
    J. Zhang, X. Xiang, Q. Zhang, and W. Li, “Neural network-based adaptive trajectory tracking control of underactuated AUVs with unknown asymmetrical actuator saturation and unknown dynamics,” Ocean Engineering, vol. 218, p. 108193, 2020. doi: 10.1016/j.oceaneng.2020.108193
    [23]
    Y. Gao, X. Sun, C. Wen, and W. Wang, “Observer-based adaptive nn control for a class of uncertain nonlinear systems with nonsymmetric input saturation,” IEEE Trans. Neural Networks Learning Syst., vol. 28, no. 7, pp. 1520–1530, 2017. doi: 10.1109/TNNLS.2016.2529843
    [24]
    T. I. Fossen, Handbook of Marine Craft Hydrodynamics and Motion Control, 1st ed. Trondheim, Norway: John Wiley & Sons, 2011.
    [25]
    S. Yu, X. Yu, B. Shirinzadeh, and Z. Man, “Continuous finite-time control for robotic manipulators with terminal sliding mode,” Automatica, vol. 41, no. 11, pp. 1957–1964, 2005. doi: 10.1016/j.automatica.2005.07.001
    [26]
    Z. Peng, D. Wang, T. Li, and M. Han, “Output-feedback cooperative formation maneuvering of autonomous surface vehicles with connectivity preservation and collision avoidance,” IEEE Trans. Cybernetics, vol. 50, no. 6, pp. 2527–2535, 2020. doi: 10.1109/TCYB.2019.2914717
    [27]
    Z. Cai, M. S. DeQueiroz, and D. M. Dawson, “A sufficiently projection operator,” IEEE Trans. Automatic Control, vol. 51, no. 1, pp. 135–139, 2006. doi: 10.1109/TAC.2005.861704

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(3)

    Article Metrics

    Article views (234) PDF downloads(36) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return