Cooperative formation control of multiple unmanned surface vessels based on state error port control Hamiltonian framework

被引:2
|
作者
Lv, Chengxing [1 ]
Wang, Zichen [1 ]
Zhang, Ying [1 ]
Chen, Jian [1 ]
Yu, Haisheng [2 ]
机构
[1] Qingdao Univ Technol, Sch Informat & Control Engn, Qingdao 266001, Peoples R China
[2] Qingdao Univ, Coll Automat, Qingdao 266071, Peoples R China
基金
中国国家自然科学基金;
关键词
Cooperative formation control; State error port control Hamiltonian; Unmanned surface vessel; Nonlinear disturbances observer; TRAJECTORY TRACKING CONTROL; INPUT SATURATION; MOBILE ROBOTS; CONSENSUS;
D O I
10.1016/j.oceaneng.2024.119410
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
A novel state error passivity-based cooperative formation controller is proposed for multiple unmanned surface vessels (MUSVs) with complete environments. An energy consumption model is constructed for the MUSVs to elucidate the energy consumption. Firstly, the multiple unmanned surface vessels model is tailored to a new dynamical model as a multiple port Hamiltonian framework. Then, a passivity-based cooperative formation controller is proposed by combining a state error port Hamiltonian controller, an improved leader-follower composite distributed protocol, and a nonlinear disturbances observer. We address the cooperative formation control of multiple USVs by using the port-Hamiltonian framework. Nonlinear disturbances observer is designed to estimate the external disturbances. A smooth function is combined to handle the system input saturation. The controller performances are illustrated by some scenario experiments. The proposed novel controller can archive the cooperative formation of the MUSVs, and effectively improve the integrated system endurance time.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Formation scaling control for multiple unmanned surface vessels
    Liu, Yeye
    Lin, Xiaogong
    OCEANS 2023 - LIMERICK, 2023,
  • [2] Fixed-time adaptive distributed cooperative formation control for multiple unmanned surface vessels
    Wang, Yixuan
    Li, Qing
    Yao, Qijia
    Ma, Jinge
    Huang, Chen
    Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 2024, 46 (10): : 1880 - 1888
  • [3] Disturbance observer-based formation control for multiple unmanned surface vessels
    Sun, Han
    Lin, Xiaogong
    Wang, Qiusu
    Lai, Chonglang
    OCEANS 2024 - SINGAPORE, 2024,
  • [4] Formation control for multiple heterogeneous unmanned aerial vehicles and unmanned surface vessels system
    Zhang, Bing
    Wang, Dongliang
    Wang, Jincheng
    2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 4920 - 4925
  • [5] Robust state-error port-controlled Hamiltonian trajectory tracking control for unmanned surface vehicle with disturbance uncertainties
    Lv, Chengxing
    Yu, Haisheng
    Zhao, Na
    Chi, Jieru
    Liu, Hailin
    Li, Lei
    ASIAN JOURNAL OF CONTROL, 2022, 24 (01) : 320 - 332
  • [6] Collective Dynamics and Control for Multiple Unmanned Surface Vessels
    Liu, Bin
    Chen, Zhiyong
    Zhang, Hai-Tao
    Wang, Xudong
    Geng, Tao
    Su, Housheng
    Zhao, Jin
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2020, 28 (06) : 2540 - 2547
  • [7] Interleaved Periodic Event-Triggered Communications-Based Distributed Formation Control for Cooperative Unmanned Surface Vessels
    Zhou, Bin
    Huang, Bing
    Su, Yumin
    Zhu, Cheng
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2025, 36 (02) : 2382 - 2394
  • [8] Distributed Equally Surrounding Control for Multiple Unmanned Surface Vessels
    Hu, Fu-Long
    Tang, Chuan-Cong
    Hu, Bin-Bin
    Xu, Bowen
    Zhang, Hai-Tao
    2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 4814 - 4818
  • [9] Formation control of multiple underactuated surface vessels
    Dong, W.
    Farrell, J. A.
    IET CONTROL THEORY AND APPLICATIONS, 2008, 2 (12): : 1077 - 1085
  • [10] Cooperative Adaptive Tracking Control Based on Quantized States for Multiple Surface Vessels
    Xu, Qinxue
    Feng, Likang
    Yao, Liqiang
    IEEE ACCESS, 2024, 12 : 5117 - 5131