Chinese Journal of Ship Research, Volume. 17, Issue 4, 57(2022)

Time cooperative path planning for unmanned marine system

Fengchuan YIN1, Xiaolong LIANG1, Hao TAO2, Yueqi HOU1, Duo QI1, and Xianning WU1
Author Affiliations
  • 1Air Traffic Control and Navigation College, Air Force Engineering University, Xi'an 710051, China
  • 2China Ship Development and Design Center, Wuhan 430064, China
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    Figures & Tables(20)
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    • Table 1. Information of threat sources

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      Table 1. Information of threat sources

      威胁区中心坐标/km半径/km威胁系数类型
      对空雷达威胁1(9.4,8.3,0)22半球形 (z>0)
      对空雷达威胁2(8.4,14.2,0)21.7半球形 (z>0)
      对空雷达威胁3(15,15,0)21.3半球形 (z>0)
      海面雷达威胁1(9.4,8.3,0)2.52圆形 (z=0)
      海面雷达威胁2(8.4,14.2,0)2.51.7圆形 (z=0)
      海面雷达威胁3(15,15,0)2.51.3圆形 (z=0)
      水下声呐威胁1(11,4,0)1.21.8半球形 (z<0)
      水下声呐威胁2(14.2,2.2,0)1.21.8半球形 (z<0)
      水下声呐威胁3(16.4,7.4,0)1.21.8半球形 (z<0)
    • Table 2. Information of forbidden zones in the air

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      Table 2. Information of forbidden zones in the air

      禁入区底面圆心/km半径/kmz/km
      风暴1(3,17,0)1(0,3)
      风暴2(3.6,11.4,0)2(0,3)
    • Table 3. Information of geofence

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      Table 3. Information of geofence

      地理围栏x/kmy/kmz/km
      空中(0,20)(0,20)(0.05,4)
      海面(0,20)(0,20)0
      水下(0,20)(0,20)(−3,−0.01)
    • Table 4. Information of forbidden zones on the sea surface

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      Table 4. Information of forbidden zones on the sea surface

      禁入区顶点坐标/km(顺时针顺序)
      水面禁入区1{(6.6,3.6),(7,4.9),(8.4,4.5),(9.1,3.2),(7.6,3.8)}
      水面禁入区1{(3.4,4.6),(4.0,5.4),(6.4,3.9),(4.8,3.8),(4.3,3.2)}
      水面禁入区1{(12,10.7),(13.1,12.1),(14.5,10),(13.2,9.7),(12.2,9.7)}
      水面禁入区1{(15.6,4.8),(17.2,4.4),(18.1,5.8),(18.7,2.9),(16.1,3.4)}
    • Table 5. Initial status information of UAV, USV and UUV

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      Table 5. Initial status information of UAV, USV and UUV

      参数UAVUSVUUV
      终点坐标/km(20,20,1)(20,20,0)(20,20,−0.5)
      航迹点数量2~32~32~3
      高度区间/km(0.5,3)0−0.5
      速度区间/(m·s−1)(10,23)(10,15)(8,13)
      最大转弯角/(°)202020
      最大爬升角/ (°)22
      最大下降角/ (°)18
    • Table 6. Parameter setting of DE algorithm

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      Table 6. Parameter setting of DE algorithm

      参数数值
      种群规模Np120
      最大迭代次数Gm160
      个体基因长度ld12
      个体变异因子F0.3
      种群交叉算子CR0.1
    • Table 7. Parameter setting of optimization function

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      Table 7. Parameter setting of optimization function

      参数数值
      $ {A_1} $0.6
      $ {A_2} $0.2
      $ {A_3} $0.2
      $ M $1003
    • Table 8. Time consumption comparison of single optimization

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      Table 8. Time consumption comparison of single optimization

      编组号种群规模最大迭代次数规划成功率/%优化时间/s
      333-412016010025.777
      333-524030010090.255
    • Table 9. Planning results of 27 groups of experiments

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      Table 9. Planning results of 27 groups of experiments

      起点组合号规划成功率/%目标函数平均值求解时间/s
      111747.55917.856
      1125814.06118.256
      1135426.71018.354
      1217211.54319.455
      1226013.25020.253
      1237223.39119.789
      131729.56018.981
      1326025.31419.987
      1337414.75622.211
      2119619.05121.236
      2128822.42319.879
      2137824.02319.365
      22110018.63519.879
      22210017.99818.254
      2239818.89621.236
      23110012.99821.352
      23210016.33519.365
      23310016.09822.348
      31110013.49823.154
      31210018.75622.456
      31310015.21020.458
      32110012.93621.454
      32210017.96320.385
      32310015.41621.729
      33110012.76422.364
      33210016.85721.698
      33310016.98722.658
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    Fengchuan YIN, Xiaolong LIANG, Hao TAO, Yueqi HOU, Duo QI, Xianning WU. Time cooperative path planning for unmanned marine system[J]. Chinese Journal of Ship Research, 2022, 17(4): 57

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    Paper Information

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    Received: Feb. 19, 2021

    Accepted: --

    Published Online: Mar. 26, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02302

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