Data-driven Model Free Formation Control for Multi-USV System in Complex Marine Environments

被引:0
|
作者
Hongbin Wang
Qianda Luo
Ning Li
Wei Zheng
机构
[1] College of the Electrical Engineering of Yanshan University,
关键词
Disturbance observer; forgetting factor; model-free adaptive control; multi-USV system;
D O I
暂无
中图分类号
学科分类号
摘要
Formation control of multi-USV system in complex marine environments is investigated in this study, and a data-driven disturbance observer (DDO)-based model free adaptive control (MFAC) framework is suggested. The FMAC scheme is designed by using only the input and output data of complex USV dynamics, including the calculation of pseudo-Jacobian matrix (PJM) and the calculation of control law. To avoid the problem that the MFAC method cannot be directly applied to USV systems, an improved DDO is used to estimate the complex environmental disturbances and PJM estimation errors. Further, forgetting factor based MFAC (FMFAC) is proposed to avoid overshoot caused by redundant data. Then, the PJM estimation is proved to be accurate while the control structure of DDO-FMFAC is proved to be bounded-input and bounded-output (BIBO). Finally, the performances of the proposed method including effectiveness and robustness are shown in simulation results.
引用
收藏
页码:3666 / 3677
页数:11
相关论文
共 50 条
  • [1] Data-driven Model Free Formation Control for Multi-USV System in Complex Marine Environments
    Wang, Hongbin
    Luo, Qianda
    Li, Ning
    Zheng, Wei
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2022, 20 (11) : 3666 - 3677
  • [2] Path planning for Multi-USV target coverage in complex environments
    Luo, Jing
    Su, Yumin
    OCEAN ENGINEERING, 2024, 312
  • [3] Adaptive coverage control for multi-USV system in complex environment with unknown obstacles
    Yao, Yao
    Cao, Jun-Hua
    Guo, Yi
    Fan, Zhun
    Li, Bing
    Xu, Biao
    Li, Ke
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2021, 17 (06)
  • [4] Pursuit-Evasion Strategy of Multi-USV System in Complex Marine Environment with Time-Varying Ocean Current
    Zhang, Zongxin
    Yang, Chunxi
    Chen, Rui
    Xing, Yashan
    Zheng, Jian
    2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, : 784 - 789
  • [5] Formation Control and Obstacle Avoidance Algorithm of a Multi-USV System Based on Virtual Structure and Artificial Potential Field
    Yan, Xun
    Jiang, Dapeng
    Miao, Runlong
    Li, Yulong
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2021, 9 (02) : 1 - 17
  • [6] Formation Control and Obstacle Avoidance Algorithm of a Multi-USV System Based on Virtual Structure and Artificial Potential Field
    Ghaderia, F.
    Toloei, A.
    Ghasemi, R.
    INTERNATIONAL JOURNAL OF ENGINEERING, 2024, 37 (01): : 115 - 126
  • [7] Multi-USV Formation Reconfiguration Based on Guiding Vector Fields and Control Barrier Functions
    Gong, Xiaoxuan
    Liu, Lu
    Wang, Haoliang
    Wang, Anqing
    Wang, Dan
    Peng, Zhouhua
    2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, : 3529 - 3534
  • [8] A multi-USV Formation Control Method Based on BP Neural Network PID Controller
    Li, Ke
    Xie, Songbo
    Zhang, Xianxia
    Zhou, Gang
    2024 4TH INTERNATIONAL CONFERENCE ON COMPUTER, CONTROL AND ROBOTICS, ICCCR 2024, 2024, : 191 - 195
  • [9] A Topology Reconfiguration Strategy for Containment Control of the Multi-USV System Based on Algebraic Connectivity
    Shan, Qihe
    Liu, Wei
    Li, Tieshan
    Zhang, Huaguang
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024,
  • [10] Dynamic path planning for multi-USV in complex ocean environments with limited perception via proximal policy optimization
    Chen, Xizhe
    Yin, Shihong
    Li, Yujing
    Xiang, Zhengrong
    OCEAN ENGINEERING, 2025, 326