Chinese Journal of Ship Research, Volume. 16, Issue 6, 10(2021)

Fuzzy dual-window DWA algorithm for USV in dense obstacle conditions

Jinze ZHANG1, Hong ZHAO1, Ning WANG2,3, and Chen GUO1
Author Affiliations
  • 1College of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China
  • 2College of Marine Engineering, Dalian Maritime University, Dalian 116026, China
  • 3College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China
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    Figures & Tables(19)
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    Simulation experiment results when under the dual-window DWA algorithm双窗口DWA算法下 时的仿真实验结果
    Simulation experiment results when under the dual-window DWA algorithm双窗口DWA算法下时的仿真实验结果
    Simulation experiment results of obstacle avoidance for USV based on FDDWA algorithm ()基于FDDWA算法的无人艇避障仿真实验结果 ()
    [in Chinese]
    • Table 1. Experimental result data

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      Table 1. Experimental result data

      参数轨迹长度/m运行时间/s安全距离/m
      α=2,β=1,γ=15155.9012.2590.45
      α=2,β=15,γ=15158.4013.8352.41
    • Table 2. Fuzzy logic control input and output subset

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      Table 2. Fuzzy logic control input and output subset

      变量模糊子集
      输入$D$小(S)、中(M)、大(H)
      $I$小(S)、大(H)
      输出$\gamma $小(S)、中(M)、大(H)
      $\beta $小(S)、中(M)、大(H)
    • Table 3. Fuzzy rules of γ

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      Table 3. Fuzzy rules of γ

      $\gamma $I
      SH
      $D{\rm{ = }}S$HS
      $D{\rm{ = }}M$HS
      $D{\rm{ = }}H$HH
    • Table 4. Fuzzy rules of β

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      Table 4. Fuzzy rules of β

      $\beta $I
      SH
      $D{\rm{ = }}S$SH
      $D{\rm{ = }}M$SM
      $D{\rm{ = }}H$SM
    • Table 5. Speed limit of USV

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      Table 5. Speed limit of USV

      参数数值
      最小前进速度$ {u_{\min }}/ $(m·s−1)0
      最大前进速度${u_{\max }}/$(m·s−1)1.5
      前进加速度$\dot u/$(m·s−2)0.5
      最小艏摇角速度${r_{\min }}/$((°)·s−1)0
      最大艏摇角速度${r_{\max }}/$((°)·s−1)30(−30)
      艏摇角加速度$\dot r/$((°)·s−1)5
    • Table 6. Parameter settings of algorithm

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      Table 6. Parameter settings of algorithm

      参数数值
      最小安全距离${D_{\min }}/m$2.0
      障碍物外包圆直径$R/\rm m$1.5
      采样时间间隔${d_{\rm t}}/s$1.0
      前进速度离散间隔$ {d_u}/ $(m·s−1)0.1
      艏摇角速度离散间隔${d_r}/$((°)·s−1)1.0
      预测轨迹采样间隔数$T/\rm s$7.0
    • Table 7. Parameter setting of density function

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      Table 7. Parameter setting of density function

      参数数值
      $\delta $0.30
      $\varepsilon $0.25
      $\mu $0.50
      $a$1/50
      $b$1/2
    • Table 8. Initial state setting of USV and sensing window

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      Table 8. Initial state setting of USV and sensing window

      参数数值
      起始坐标(0,0)
      目标坐标(90,90)
      感知窗口角度/(°)100
      感知窗口半径/m13
      起始艏向$\vartheta $/(°)π/4
      起始前进速度$u/$(m·s−1)0
      起始艏摇角速度$r/$((°)·s−1)0
    • Table 9. Experimental data

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      Table 9. Experimental data

      权值参数安全距离/m迭代次数/次轨迹长度/m运行时间/s
      α=2,β=15,γ=13.56109127.3014.445
      α=2,β=1,γ=153.3486125.1010.768
      α=2,β=βdγ=γd4.0985124.1010.071
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    Jinze ZHANG, Hong ZHAO, Ning WANG, Chen GUO. Fuzzy dual-window DWA algorithm for USV in dense obstacle conditions[J]. Chinese Journal of Ship Research, 2021, 16(6): 10

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    Paper Information

    Category: Ship Design and Performance

    Received: Aug. 29, 2020

    Accepted: --

    Published Online: Mar. 28, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02095

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