船舶动力定位非线性自适应滤波算法

Dynamic positioning nonlinear adaptive filtering algorithm

本研究主要针对万吨级的耙吸式挖泥船。动力定位技术极大地提高了挖泥船的海上作业能力,保证了工作效率。船舶在海上会受到来自环境,如风、浪和流的干扰,导致船舶进行一些运动,目前的方法是将船舶的高频运动与低频运动分开处理。本文利用中心微分卡尔曼滤波方法滤除高频分量,减少推进器磨损。仿真实验表明这种滤波技术可行。

This article mainly design to capacity trailing suction hopper dredger, dynamic position system greatly improves the dredger＇s offshore operation capacity,and guaranteed the work efficiency. Ships on the sea will disturbed by the wind, wave and flow, lead to ship some exercise, the present method is to separate the high frequency and low frequency motion. The paper use the centre differential kalman filter method filtering high frequency component, reduce propeller wear. Simulation experiments show that this filtering technology is feasible.