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未知干扰下多船相邻交叉耦合同步编队避障控制

庹玉龙 康彩霞 王莎莎 戴东辰 高双 李莉莉

庹玉龙, 康彩霞, 王莎莎, 戴东辰, 高双, 李莉莉. 未知干扰下多船相邻交叉耦合同步编队避障控制[J]. 交通运输工程学报, 2023, 23(6): 314-326. doi: 10.19818/j.cnki.1671-1637.2023.06.021
引用本文: 庹玉龙, 康彩霞, 王莎莎, 戴东辰, 高双, 李莉莉. 未知干扰下多船相邻交叉耦合同步编队避障控制[J]. 交通运输工程学报, 2023, 23(6): 314-326. doi: 10.19818/j.cnki.1671-1637.2023.06.021
TUO Yu-long, KANG Cai-xia, WANG Sha-sha, DAI Dong-chen, GAO Shuang, LI Li-li. Adjacent cross-coupling synchronous formation control with collision avoidance for multiple ships under unknown disturbances[J]. Journal of Traffic and Transportation Engineering, 2023, 23(6): 314-326. doi: 10.19818/j.cnki.1671-1637.2023.06.021
Citation: TUO Yu-long, KANG Cai-xia, WANG Sha-sha, DAI Dong-chen, GAO Shuang, LI Li-li. Adjacent cross-coupling synchronous formation control with collision avoidance for multiple ships under unknown disturbances[J]. Journal of Traffic and Transportation Engineering, 2023, 23(6): 314-326. doi: 10.19818/j.cnki.1671-1637.2023.06.021

未知干扰下多船相邻交叉耦合同步编队避障控制

doi: 10.19818/j.cnki.1671-1637.2023.06.021
基金项目: 

国家自然科学基金项目 52101298

国家自然科学基金项目 52201409

中国博士后科学基金项目 2019M661082

中央高校基本科研业务费专项资金项目 3132022104

浙江省自然科学基金项目 LQ22E090007

大连市高层次人才创新支持计划 2023RQ066

详细信息
    作者简介:

    庹玉龙(1990-),男,湖北襄阳人,大连海事大学副教授,工学博士,从事水面船的运动建模及控制技术研究

    李莉莉:LI Li-li(1982-), female, associate professor, PhD, lilili@dlmu.edu.cn

    通讯作者:

    李莉莉(1982-),女,辽宁大连人,大连海事大学副教授,工学博士

  • 中图分类号: U664.82

Adjacent cross-coupling synchronous formation control with collision avoidance for multiple ships under unknown disturbances

Funds: 

National Natural Science Foundation of China 52101298

National Natural Science Foundation of China 52201409

China Postdoctoral Science Foundation 2019M661082

Fundamental Research Funds for the Central Universities 3132022104

Natural Science Foundation of Zhejiang Province LQ22E090007

Dalian Innovative Support Project for High-Level Talents 2023RQ066

More Information
  • 摘要: 针对在未知海洋干扰下编队航行时的同步性能差和障碍物碰撞风险问题,提出了一种多船舶分布式相邻交叉耦合同步编队避障鲁棒控制方法和具有更高同步控制精度的相邻交叉耦合同步控制策略, 并利用神经网络估计未知海洋干扰;为防止船舶与障碍物、船舶与船舶之间的碰撞风险,将人工势场法应用到多船舶编队控制系统当中;通过模拟5艘船舶在具有多个障碍物和未知海洋干扰情况下的并排编队航行场景,测试了提出方法的有效性。研究结果表明:在考虑障碍物与外界海洋干扰的环境下,5艘船舶在安全躲避障碍物后,均能够以期望的编队形式完成航行;9 s左右这些船舶就能够达到一致的速度,面对障碍物干扰时,速度会出现轻微波动,但30 s后仍可趋于一致,并保持相同的速度继续航行;船舶的位置跟踪误差、速度跟踪误差、相邻船舶的位置同步误差与神经网络逼近误差会出现小幅度的振荡,但30 s后这些误差最终都收敛于0,保证了5艘船舶位置与速度信息的同步。可见,该方法不仅可解决未知海洋干扰下船舶编队控制同步性能较差的问题,同时可有效降低船舶与障碍物、船舶与船舶之间的碰撞风险,一定程度上提高了船舶编队航行时的自主性与安全性。

     

  • 图  1  船舶在改进人工场中受力分析

    Figure  1.  Force analysis of ship in improved artificial field

    图  2  船舶编队作业

    Figure  2.  Operation of ship formation

    图  3  通信拓扑图

    Figure  3.  Communication topology graph

    图  4  船舶编队的轨迹

    Figure  4.  Trajectories of ship formation

    图  5  船舶编队的速度曲线

    Figure  5.  Velocity curves of ship formation

    图  6  神经网络逼近误差范数值曲线

    Figure  6.  Approximation error norm curves of neural network

    图  7  同步编队鲁棒控制的位置跟踪误差曲线

    Figure  7.  Position tracking error curves of synchronous formation robust control

    图  8  同步编队鲁棒控制的速度跟踪误差曲线

    Figure  8.  Velocity tracking error curves of synchronous formation robust control

    图  9  同步编队鲁棒控制作用下的相邻船舶同步误差曲线

    Figure  9.  Synchronous error curves of adjacent ships of synchronous formation robust control

    图  10  同步编队鲁棒控制作用下的控制力和力矩曲线

    Figure  10.  Control force and torque curves of synchronous formation robust control

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  • 收稿日期:  2023-06-17
  • 刊出日期:  2023-12-25

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