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MODELING OF SHIP MANOEUVRING MOTION IN 4 DEGREES OF FREEDOM BASED ON SUPPORT VECTOR MACHINES

机译:基于支持向量机的4次自由船舶机动运动建模

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Ship manoeuvring motion in waves is usually accompanied by nonlinear roll motion of large amplitude. In this paper, by taking account of the influence of the roll motion, a 4 degrees of freedom mathematical model of ship manoeuvring motion is derived. A method based on least squares support vector machines (LS-SVM) is proposed for identifying the hydrodynamic derivatives in the mathematical model by analyzing the data of surge speed, sway speed, yaw rate, roll rate, roll angle and rudder angle. To verify the identification method, 10°/10° zigzag tests are simulated for a container ship by using the hydrodynamic derivatives obtained from the roll planar motion mechanism (RPMM) test; the simulation data are used to identify the hydrodynamic derivatives, and the identification results are compared with those of RPMM test. The 10°/10° zigzag manoeuvring motion is predicted with the identified hydrodynamic derivatives. Besides, the identified model is used to predict the 20°/20° zigzag and 35° turning circle manoeuvres, and the predicted results are compared with those of simulation tests to demonstrate the generalization performance of the identified mathematical model.
机译:船舶在波浪中的机动运动通常伴随着大振幅的非线性滚动运动。在本文中,通过考虑滚动运动的影响,推导了船舶操纵运动的4度的自由学数学模型。提出了一种基于最小二乘支持向量机(LS-SVM)的方法,用于通过分析浪涌速度,摇摆速度,横摆率,辊速,滚动角和舵角的数据来识别数学模型中的流体动力衍生物。为了验证识别方法,通过使用从辊平面运动机构(RPMM)测试获得的流体动力学衍生物来模拟10°/ 10°Zigzag测试。模拟数据用于识别流体动力学衍生物,并将识别结果与RPMM测试进行比较。通过鉴定的流体动力衍生物预测10°/ 10°Z字形机动运动。此外,所识别的模型用于预测20°/ 20°之曲轴和35°转动圈式操纵,并且将预测结果与模拟测试的结果进行比较,以证明所识别的数学模型的泛化性能。

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