卡尔曼滤波器在船舶运动模型参数辨识中的应用

Application of Kalman filter in parameter identification of ship motion model

船舶航行在广阔洋面时,由于速度极快,因此具有很好的机动性,但遇到恶劣天气时,会面临很大的控制难题,尤其是控制信号的传递和导航数据的传输过程中会面临较强的干扰问题。本文主要研究船舶运动模型参数的辨识问题,采用卡尔曼滤波器对输入信号进行处理,能够主动分离出有用信号和噪声信号。在滤波过程中,通过对滤波参数进行提取,能够提高滤波效率,显著改善了船舶运动控制的水平。

When the ship sails in the vast ocean surface, it is very flexible and flexible, but it will face great control problems when encountering bad weather, especially the transmission of control signals and the transmission of navigation data. Will face a strong interference problem. In this paper, the problem of identification of ship motion model parameters is studied, and the input signal is processed by Kalman filter, and the useful signal and noise signal can be separated. In the process of filtering, the filtering parameters can be extracted, which can improve the filtering efficiency and improve the level of ship motion control.