A New Sea Trial Method for Estimating Hydrodynamic Derivatives
A New Sea Trial Method for Estimating Hydrodynamic Derivatives
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发表时间：
1999
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通讯作者：
K. Rhee;Kun-ho Kim
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作者：
K. Rhee;Kun-ho Kim
结合敏感性分析研究了不同海试的估算效率，提出了提高水动力导数估算效率的新试验方法。采用MMG方程和Kijima公式进行模拟。选择扩展卡尔曼滤波器作为估计技术，并且感兴趣的流体动力导数仅限于摇摆和偏航方程中的 12 个。 Esso Osaka被选为测试船。敏感性分析和基于常规试验的估计结果表明，更灵敏的导数可以提供更有效的估计结果。非线性导数的灵敏度在稳态条件持续较长的试验中变得明显，例如转弯试验，而线性导数的灵敏度在非稳态条件持续较长的试验中变得更大，例如10deg-10deg zigzag 试验。因此，在称为S型试验的新方法中，将稳态和非稳态条件适当结合以提高灵敏度。 S型试验对线性导数的估计效果较好，对非线性导数的估计也有一定程度的改进。
Estimation efficiencies according to different sea trial are investigated in connection with sensitivity analysis, and new trial method is proposed which can improve the estimation efficiency of hydrodynamic derivatives. MMG Equation with Kijima's formula is used for simulation. Extended Kalman Filter is chosen for estimation technique and hydrodynamic derivatives of interest is limited to 12 of those in sway and yaw equations. Esso Osaka is selected for the test ship. Sensitivity analysis and estimation results based on conventional trials show that a more sensitive derivative gives more efficient estimation result. Sensitivities of nonlinear derivatives become pronounced in the trial where steady condition lasts longer such as turning test, while sensitivities of linear derivatives gas a larger values in the trial where unsteady condition lasts longer such as 10deg-10deg zigzag test. Consequently, in new method , named S-type trial, steady and unsteady condition are combined appropriately to increase sensitivities. Linear derivatives are estimated better in S-type trial and the estimation of nonlinear derivatives is improved to extent.