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首页> 外文期刊>Ocean Engineering >Identification of the nonlinear ship rolling motion equation using the measured response at sea
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Identification of the nonlinear ship rolling motion equation using the measured response at sea

机译：利用海上实测响应识别非线性船舶侧倾运动方程

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摘要

This paper describes a new robust method for the identification of the parameters in the equation describing the rolling motion of a ship using only its measured response at sea. Those parameters are the linear and nonlinear damping and restoring parameters. The random decrement equations as well as the auto- and cross-correlation equations are derived for a ship performing rolling motion in random beam waves. The linear and nonlinear parameters in the equation of motion are identified using a combination of the random decrement technique, auto- and cross-correlation functions, a linear regression algorithm, and a neural networks technique. The combination of the classical parametric identification techniques and a neural networks technique provides robust results and does not require a large amount of computer time. The proposed method would be particularly useful in identifying the nonlinear damping and restoring parameters for a ship rolling under the action of unknown excitations effected by a realistic sea. Numerically generated data and experimental data for the ship rolling motion are used to test the accuracy and the validity of the method. It is shown that the method is reliable in the identification of the parameters of the equation of the rolling motion using only the measured response at sea.
机译：本文介绍了一种新的鲁棒方法，用于仅使用船舶在海上的测量响应来确定描述船舶滚动运动的方程式中的参数。这些参数是线性和非线性阻尼与恢复参数。对于在随机束波中执行滚动运动的船舶，推导了随机减量方程以及自相关和互相关方程。运动方程中的线性和非线性参数是使用随机减量技术，自相关函数和互相关函数，线性回归算法和神经网络技术的组合来识别的。经典参数识别技术和神经网络技术的结合提供了可靠的结果，并且不需要大量的计算机时间。所提出的方法在识别由现实海浪影响的未知激励作用下的船舶滚动的非线性阻尼和恢复参数时特别有用。数值计算的数据和船舶横摇运动的实验数据被用来检验该方法的准确性和有效性。结果表明，该方法仅使用海上测得的响应来识别滚动运动方程的参数是可靠的。

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