首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于扩展卡尔曼滤波的船舶纵向运动受扰力与力矩的估计
引用本文:赵希人,陈虹丽,叶葵,魏东.基于扩展卡尔曼滤波的船舶纵向运动受扰力与力矩的估计[J].中国造船,2004,45(3):24-30.
作者姓名:赵希人  陈虹丽  叶葵  魏东
作者单位:哈尔滨工程大学自动化学院,黑龙江,哈尔滨,150001
摘    要:基于递推最小二乘法设计并实现海浪干扰力和干扰力矩的成型波滤器,对有色的次优卡尔曼滤波和扩展卡尔曼滤波(EKF)的效果进行对比.通过引入成型滤波器,采用EKF,提高了状态估计的精度,实现对随机海浪扰动力和力矩的估计.仿真结果表明,通过扩展卡尔曼滤波对海浪扰动力和力矩进行估计是可行的.

关 键 词:船舶、舰船工程  扩展卡尔曼滤波  海浪扰动估计  递推最小二乘法  成型滤波器
文章编号:1000-4882(2004)03-0024-07
修稿时间:2003年5月26日

Estimation of Longitudinal Interferences to Ship Based on Extended Kalman Filtering
ZHAO Xi-ren,CHEN Hong-li,YE Kui,WEI Dong.Estimation of Longitudinal Interferences to Ship Based on Extended Kalman Filtering[J].Shipbuilding of China,2004,45(3):24-30.
Authors:ZHAO Xi-ren  CHEN Hong-li  YE Kui  WEI Dong
Abstract:The forming filter of stochastic sea interference is designed and realized based on the method of least squares step by step in this paper. The effect of colored Kalman filtering is compared with extended Kalman filtering (EKF). By using the forming filter and EKF, the precision of states estimation is increased and a effective estimation of stochastic sea interference is performed. Simulation result shows that the estimation of stochastic sea interference obtained by EKF is feasible.
Keywords:ship engineering  extended Kalman filtering  estimation of sea interference  the method of least squares step by step  forming filter  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号