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Identification of hydrodynamic coefficients in ship maneuvering equations of motion by Estimation-Before-Modeling technique

机译:通过建模前估计技术识别船舶操纵运动方程中的水动力系数

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Estimation-Before-Modeling (EBM) technique (or the two-step method) is a system identification method that estimates parameters in a dynamic model. Given sea trial data, the extended Kalman filter and modified Bryson-Frazier smoother can be used to estimate motion variables, hydrodynamic force, and the speed and the direction of current. And using these estimated data, we can use the ridge regression method to estimate the hydro-dynamic coefficients in a model. An identifiable state space model is constructed in case that current effect is included and the maneuvering characteristics of a ship are analyxed by correlation analysis. To better identify hydrodynamic coefficients, we suggest the sub-optimal input scenario that considers the D-optimal criterion. Finally, the algorithm is confirmed against real sea trial data of 113K tanker.
机译:建模前估算(EBM)技术(或两步法)是一种系统标识方法,用于估算动态模型中的参数。给定海试数据,可以使用扩展的卡尔曼滤波器和改进的Bryson-Frazier平滑器来估计运动变量,流体动力,电流的速度和方向。并使用这些估计的数据,我们可以使用岭回归方法来估计模型中的水动力系数。在考虑当前影响并通过相关分析来分析船舶操纵特性的情况下,构造了一个可识别的状态空间模型。为了更好地识别水动力系数,我们建议考虑D最优准则的次优输入方案。最后,根据113K油轮的实际海试数据对算法进行了验证。

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