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干扰条件下无人艇编队有限时间同步控制

王端松 李东禹 梁晓玲

王端松, 李东禹, 梁晓玲. 干扰条件下无人艇编队有限时间同步控制. 自动化学报, 2024, 50(5): 1101−1112 doi: 10.16383/j.aas.c230550
引用本文: 王端松, 李东禹, 梁晓玲. 干扰条件下无人艇编队有限时间同步控制. 自动化学报, 2024, 50(5): 1101−1112 doi: 10.16383/j.aas.c230550
Wang Duan-Song, Li Dong-Yu, Liang Xiao-Ling. Finite time synchronized formation control of unmanned surface vehicles with external disturbances. Acta Automatica Sinica, 2024, 50(5): 1101−1112 doi: 10.16383/j.aas.c230550
Citation: Wang Duan-Song, Li Dong-Yu, Liang Xiao-Ling. Finite time synchronized formation control of unmanned surface vehicles with external disturbances. Acta Automatica Sinica, 2024, 50(5): 1101−1112 doi: 10.16383/j.aas.c230550

干扰条件下无人艇编队有限时间同步控制

doi: 10.16383/j.aas.c230550
基金项目: 国家自然科学基金(62103028), 皖西学院科研启动基金(WGKQ2022050), 浙江省自然科学基金(LGG22F030018)资助
详细信息
    作者简介:

    王端松:皖西学院高级工程师. 2020年获得哈尔滨工程大学博士学位. 主要研究方向为智能船舶, 农业智能装备控制技术. E-mail: dswangsd@126.com

    李东禹:北京航空航天大学副教授. 2019年获得哈尔滨工业大学博士学位. 主要研究方向为航天器集群协同, 空间态势感知和星座组网安全. 本文通信作者. E-mail: dongyuli@buaa.edu.cn

    梁晓玲:大连海事大学讲师. 2015年获得哈尔滨工业大学博士学位. 主要研究方向为船舶制导与智能控制. E-mail: lxldmu2016@163.com

Finite Time Synchronized Formation Control of Unmanned Surface Vehicles With External Disturbances

Funds: Supported by National Natural Science Foundation of China (62103028), Startup Fund for Distinguished Scholars of West Anhui University (WGKQ2022050), and Natural Science Foundation of Zhejiang Province (LGG22F030018)
More Information
    Author Bio:

    WANG Duan-Song Senior Engineer at West Anhui University. He received his Ph.D. degree from Harbin Engineering University in 2020. His research interest covers intelligent ship formation control and agricultural intelligent equipment control technology

    LI Dong-Yu Associate professor at Beihang University. He received his Ph.D. degree from Harbin Institute of Technology in 2019. His research interest covers spacecraft cluster collaboration, space situational awareness, and constellation networking security. Corresponding author of this paper

    LIANG Xiao-Ling Lecturer at Dalian Maritime University. She received her Ph.D. degree from Harbin Institute of Technology in 2015. Her main research interest is guidance and intelligent control technology for marine vehicles

  • 摘要: 针对有限时间控制中各状态分量收敛时间不同问题, 提出一种无人艇编队有限时间同步控制框架, 在此框架下设计的有限时间同步编队控制方法可巧妙地达到无人艇所有自由度误差在同一时刻收敛到平衡点. 首先, 针对现有干扰观测器与时间同步稳定框架不兼容问题, 设计有限时间同步干扰观测器; 然后, 利用比例保持特性设计有限时间同步稳定编队控制器, 并验证了所提控制算法的稳定性; 最后, 通过3艘无人艇编队进行仿真实验, 实验结果验证了所提控制算法的有效性和优越性. 所提控制方法对有时间同步控制需求的航海、航空航天和工业领域具有现实意义.
  • 图  1  北-东坐标系的无人艇编队运动曲线

    Fig.  1  Unmanned surface vehicles' moving curve in the north-east frame

    图  2  无人艇间的通信关系

    Fig.  2  The communication relationship of unmanned surface vehicles

    图  3  北−东坐标系下编队运动曲线

    Fig.  3  Moving curve in the north-east frame

    图  8  跟随者 1 在 3 个自由度方向的外界环境干扰和模型不确定性实际值与估计值

    Fig.  8  Actual and estimatedvalues of external disturbances and model uncertainties for follower 1 in three degrees of freedom

    图  4  各无人艇运动速度曲线

    Fig.  4  Velocity curve of unmanned surface vehicles

    图  5  各无人艇位置和艏向角变化曲线

    Fig.  5  Position and heading variation curve of unmanned surface vehicles

    图  6  各无人艇的编队误差曲线

    Fig.  6  Formation error curve of unmanned surface vehicles

    图  7  无人艇各自由度编队误差在同一时刻收敛曲线

    Fig.  7  Convergence curve of all degrees of freedom formation errors at the same time

    图  9  改变初始值编队控制误差收敛曲线

    Fig.  9  Formation error curve in the situation of the initial values changed

    图  10  文献[25]基于符号函数的有限时间非线性滑模控制误差收敛曲线

    Fig.  10  Convergence curve of finite time nonlinear sliding mode control error based on sign function in [25]

    图  11  线性滑模控制的编队误差收敛曲线

    Fig.  11  Formationerror convergence curve of linear sliding mode control

    图  12  文献[21]的超螺旋干扰观测器观测值与实际值

    Fig.  12  Observe and actual value of the super-twisting disturbance observer proposed in [21]

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  • 收稿日期:  2023-09-04
  • 录用日期:  2024-02-07
  • 网络出版日期:  2024-03-24

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