具有艏前波观测量的大型舰船姿态运动预报

Prediction of Big Ship Motion with Wave Survey

讨论了应用艏前波观测量和舰船运动姿态观测数据,对大型舰船运动姿态进行建模预报的方法。提出了运动预报的ARMA模型和艏前波预报AR模型。给出了艏前波波幅预报算法及舰船运动姿态预报算法。并对舰船纵摇运动进行了仿真。仿真计算表明,该方法可达到满意的预报精度。最后,将该方法与通常的只依据舰船姿态观测量进行预报的AR方法进行了比较。

The prediction method of the big ship motion posture is discussed, using the wave survey in front of the ship and the survey data of the big ship motion. The Automation Regressive Moving Average (ARMA) model of the ship motion prediction and the Automation Regressive (AR) model of the wave prediction in the front of the ship areintroduced in detail. The prediction algorisms for the wave amplitude and the ship motion posture are given. And the longitudinal sway motion of the big ship is simulated. The simulation calculation shows that the prediction precision is satisfied. Finally the ARMA method is compared with the common AR method.