Chinese Journal of Ship Research, Volume. 19, Issue 1, 248(2024)

Optimal obstacle avoidance design of autonomous underwater vehicle for cable laying based on model prediction control

Zhehao SU, Weiran WANG, Xiaoqiang DAI, Zhiyu ZHU, Jie YAO, and Huilin GE
Author Affiliations
  • School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212100, China
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    Figures & Tables(12)
    [in Chinese]
    [in Chinese]
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    • Table 1. The limit of AUV parameters

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      Table 1. The limit of AUV parameters

      参数最小值最大值
      纵向移动加速度u/(m·s−2)−0.60.6
      横向移动加速度v/(m·s−2)−0.30.3
      垂向移动加速度w/(m·s−2)−0.60.6
      横倾角速度变化率p/(m·s−2)−0.20.2
      纵倾角速度变化率q/(m·s−2)−0.20.2
      偏航角速度变化率r/(m·s−2)−0.20.2
    • Table 2. Parameters of related path

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      Table 2. Parameters of related path

      参数起始位置预设路径
      正北距离ξ/m050
      正东距离η/m2020
      指向地心距离ζ/m44
      正北偏向角$\phi $/rad00
      正东偏向角θ/rad00
      垂直偏向角ψ/rad00
    • Table 3. Mean errors of AUV moving at a relative height away from the raised seabed level under the selected paths

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      Table 3. Mean errors of AUV moving at a relative height away from the raised seabed level under the selected paths

      控制方法平均误差/m
      MPC3.5198
      CMPC0.1317
      CLMPC0.1970
    • Table 4. AUV's path length and the distance from each path to the nearest waypoint

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      Table 4. AUV's path length and the distance from each path to the nearest waypoint

      控制方法路径长度/m最近特征点qclose距离/m
      MPC50.000018.0562
      CMPC57.808820.0552
      CLMPC50.641916.0642
    • Table 5. Mean errors of AUV moving at a relative height away from the concaved seabed level for the selected paths

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      Table 5. Mean errors of AUV moving at a relative height away from the concaved seabed level for the selected paths

      控制方法平均误差/m路径长度/m
      MPC0.672950.0000
      CMPC0.214558.1617
      CLMPC0.243951.8993
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    Zhehao SU, Weiran WANG, Xiaoqiang DAI, Zhiyu ZHU, Jie YAO, Huilin GE. Optimal obstacle avoidance design of autonomous underwater vehicle for cable laying based on model prediction control[J]. Chinese Journal of Ship Research, 2024, 19(1): 248

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    Paper Information

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    Received: Oct. 17, 2022

    Accepted: --

    Published Online: Mar. 18, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03125

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