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

被引:0
|
作者
Wang D.-S. [1 ]
Li D.-Y. [2 ]
Liang X.-L. [3 ]
机构
[1] College of Electrical and Photo electronic Engineering, West Anhui University, Lu'an
[2] School of Cyber Science and Technology, Beihang University, Beijing
[3] College of Marine Engineering, Dalian Maritime University, Dalian
来源
基金
中国国家自然科学基金;
关键词
disturbance observer; finite time control; formation; Time-synchronous control; unmanned surface vehicles;
D O I
10.16383/j.aas.c230550
中图分类号
学科分类号
摘要
A finite time synchronization control framework for unmanned surface vehicles is proposed to address the issue of different convergence times of various states in finite time control. The finite time synchronization formation control method designed under this framework can cleverly achieve that all degrees of freedom errors of unmanned surface vehicles converge to an equilibrium point at the same time. Firstly, to address the issue of incompatibility between existing disturbance observers and time synchronization stabilization frameworks, a finite time synchronization disturbance observer is designed. Furthermore, utilizing the ratio persistence property, a finite time synchronous formation controller is designed, and the stability of the proposed control algorithm is demonstrated. Finally, simulation research was conducted on three unmanned surface vehicles, and the results verified the effectiveness and superiority of the proposed control algorithm. The control method proposed in this article has practical significance for the fields of navigation, aerospace, and industry that require time-synchronous control. © 2024 Science Press. All rights reserved.
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页码:1047 / 1058
页数:11
相关论文
共 34 条
  • [1] Zhang Wei-Dong, Liu Xiao-Cheng, Han Peng, Progress and challenges of overwater unmanned systems, Acta Automatica Sinica, 46, 5, pp. 847-857, (2020)
  • [2] Xie Shao-Rong, Liu Jian-Jian, Zhang Dan, Current development of control technology for unmanned surface vessel clusters under complex sea conditions, Journal of Unmanned Undersea Systems, 28, 6, pp. 584-596, (2020)
  • [3] Wu G, Xu T, Sun Y, Zhang J., Review of multiple unmanned surface vessels collaborative search and hunting based on swarm intelligence, International Journal of Advanced Robotic Systems, 19, 2, pp. 1729-1735, (2022)
  • [4] Liu H, Zhang H, Meng D, Su H., Scanning-Chain formation control for multiple unmanned surface vessels to pass through water channels, IEEE Transactions on Cybernetics, 52, 3, pp. 1850-1861, (2022)
  • [5] Liu Z, Hou H, Wang Y., Formation-containment control of multiple underactuated surface vessels with sampling communication via hierarchical sliding mode approach, ISA Transactions, 124, pp. 458-467, (2022)
  • [6] Liang X, Qu X, Hou Y, Li Y, Zhang R., Distributed coordinated tracking control of multiple unmanned surface vehicles under complex marine environments, Ocean Engineering, 205, (2020)
  • [7] Li He, Wang Ning, Xue Hao-Yuan, Leader-follower fixed-time formation control of unmanned surface vehicles, Chinese Journal of Ship Research, 15, 2, pp. 111-118, (2020)
  • [8] Guo G, Gao Z, Dong K., Prescribed-time formation control of surface vessels with asymmetric constraints on LOS range and bearing angles, Nonlinear Dynamics, 104, pp. 3701-3712, (2021)
  • [9] Han Z, Wang Y, Sun Q., Straight-path following and formation control of USVs using distributed deep reinforcement learning and adaptive neural network, IEEE/CAA Journal of Automatica Sinica, 10, 2, pp. 572-574, (2023)
  • [10] Li D, Ge S, Lee T., Simultaneous arrival to origin convergence: sliding-mode control through the norm-normalized sign function, IEEE Transactions on Automatic Control, 67, 4, pp. 1966-1972, (2021)