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在气垫船高速行进过程中,由于其自身的特点,对其运动参数进行精确控制时,需要对海浪进行实时预报,以减小滤波的滞后.文中基于ITTC双参数谱对海浪数据进行了仿真,并将灰色GM(1,1)模型用于海浪信号的实时预报.针对海浪数据的特殊性,提出一种新型的数据预处理方法.预报结果可知,经过镜像数据预处理后,灰色GM(1,1)模型完全可以对海浪数据进行实时预报,其精度满足实际工程需要.
Due to its own characteristics, precise control of the motion parameters of the hovercraft needs to make real-time prediction of the waves to reduce the filtering lag.The wave data are simulated based on the ITTC two-parameter spectrum A new type of data preprocessing method is proposed based on the gray GM (1,1) model.According to the forecast results, it can be seen that after the gray image data preprocessing, the gray GM (1,1) 1) The model can predict the ocean wave data in real time, and its accuracy meets the needs of the actual project.