• Chinese Journal of Ship Research
  • Vol. 20, Issue 1, 85 (2025)
Zhigang QI, Hao ZHANG, Bing LI, and Zhe LU
Author Affiliations
  • College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
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    DOI: 10.19693/j.issn.1673-3185.03818 Cite this Article
    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 Copy Citation Text show less
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    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 1. Ship parameters
    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 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}}$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 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}}$6.101×1055.815×1054.696.102×1050.026.107×1050.09
    ${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 4. Accuracy of ship longitudinal motion parameter identification under Sea State 4, 18 knots speed, and 180° wave encounter angle
    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
    Table 5. Average running time of three algorithms under different wave encounter angles
    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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