Chinese Journal of Ship Research, Volume. 20, Issue 1, 85(2025)

Ship parameter identification method based on improved wild horse optimizer

Zhigang QI... Hao ZHANG, Bing LI and Zhe LU |Show fewer author(s)
Author Affiliations
  • College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
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    Figures & Tables(16)
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    • Table 1. Ship parameters

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      Table 1. Ship parameters

      参数数值
      船舶质量$m/{\text{kg}}$4.42×105
      纵摇惯性力矩${{{I_5}} / {({\text{kg}} \cdot {{\text{m}}^2})}}$9.945×107
      船体吃水深度$h/{\text{m}}$2.27
      船体等效半径${r_r}/{\text{m}}$30
      船体等效截面积${s_s}/{{\text{m}}^2}$16.2
      船舶复原力系数${c_{33}}$3.15×106
      船舶复原力系数${c_{35}}$6.83×106
      船舶复原力矩系数${c_{53}}$6.83×106
      船舶复原力矩系数${c_{55}}$6.54×108
      有义波高${h_{1/3}}/{\text{m}}$2.27
      船舶航速$v/{\text{kn}}$18
    • Table 2. Accuracy of ship longitudinal motion parameter identification under Sea State 4, 18 knots speed, and 90° wave encounter angle

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      Table 2. Accuracy of ship longitudinal motion parameter identification under Sea State 4, 18 knots speed, and 90° wave encounter angle

      参数理论值PSOWHOIWHO
      辨识值相对误差/%辨识值相对误差/%辨识值相对误差/%
      ${a_{33}}$8.045×1059.446×10517.428.098×1050.658.050×1050.06
      ${a_{35}}$7.753×1068.902×10615.666.979×1069.987.720×1060.43
      ${a_{55}}$2.595×1082.830×1089.052.336×1089.882.592×1080.12
      $ {a_{53}} $1.479×1071.777×10720.171.332×1079.941.477×1070.14
      ${b_{33}}$9.369×1057.901×10515.668.496×1059.329.363×1050.06
      ${b_{35}}$1.159×1071.480×10727.721.043×10710.021.155×1070.35
      ${b_{55}}$2.885×1084.077×10841.312.637×1088.602.874×1080.38
      ${b_{53}}$3.324×1062.296×10630.912.995×1069.903.322×1060.05
    • Table 3. Accuracy of ship longitudinal motion parameter identification under Sea State 4, 18 knots speed, and 135° wave encounter angle

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      Table 3. Accuracy of ship longitudinal motion parameter identification under Sea State 4, 18 knots speed, and 135° wave encounter angle

      参数理论值PSOWHOIWHO
      辨识值相对误差/%辨识值相对误差/%辨识值相对误差/%
      ${a_{33}}$6.311×1055.569×10511.706.157×1052.446.304×1050.11
      ${a_{35}}$3.281×1065.248×10659.952.955×1069.943.274×1060.21
      ${a_{55}}$1.525×1081.541×1081.011.373×1089.971.524×1080.07
      $ {a_{53}} $7.865×1069.509×10620.907.090×1069.867.842×1060.29
      ${b_{33}}$8.033×1057.635×1054.967.394×1057.968.028×1050.06
      ${b_{35}}$9.429×1067.879×10616.448.486×1067.719.412×1060.18
      ${b_{55}}$2.091×1082.716×10829.881.882×10810.012.087×1080.19
      ${b_{53}}$2.267×1061.616×10628.722.073×1068.562.263×1060.18
    • Table 4. Accuracy of ship longitudinal motion parameter identification under Sea State 4, 18 knots speed, and 180° wave encounter angle

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      Table 4. Accuracy of ship longitudinal motion parameter identification under Sea State 4, 18 knots speed, and 180° wave encounter angle

      参数理论值PSOWHOIWHO
      辨识值相对误差/%辨识值相对误差/%辨识值相对误差/%
      ${a_{33}}$6.101×1055.815×1054.696.102×1050.026.107×1050.09
      ${a_{35}}$2.663×1062.396×10610.032.583×1067.812.652×1061.10
      ${a_{55}}$1.377×1081.348×1082.141.368×1080.651.373×1080.29
      $ {a_{53}} $6.611×1066.594×1060.256.093×1067.846.610×1060.02
      ${b_{33}}$7.400×1057.782×1055.167.058×1054.627.409×1050.12
      ${b_{35}}$8.951×1068.835×1061.308.216×1068.218.960×1060.10
      ${b_{55}}$1.873×1081.944×1083.791.825×1082.561.879×1080.32
      ${b_{53}}$2.356×1063.123×10632.572.167×1068.022.360×1060.17
    • Table 5. Average running time of three algorithms under different wave encounter angles

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      Table 5. Average running time of three algorithms under different wave encounter angles

      海浪遭遇角/(°)平均运行时间/s
      PSOWHOIWHO
      907.9030.9351.122
      1357.6610.9281.194
      1807.6810.9721.180
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    Zhigang QI, Hao ZHANG, Bing LI, Zhe LU. Ship parameter identification method based on improved wild horse optimizer[J]. Chinese Journal of Ship Research, 2025, 20(1): 85

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    Paper Information

    Category: Maneuverability Forecast

    Received: Mar. 11, 2024

    Accepted: --

    Published Online: Mar. 13, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03818

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