基于模糊控制的舰船组合导航Kalman滤波器应用与仿真  

RESEARCH AND SIMULATION OF SHIP NAVIGATION KALMAN FILTER BASED ON FUZZY CONTROL

作　　者：沈云锋[1] 朱海[1] 莫军[1] 丁宁[1] 

机构地区：[1]海军潜艇学院,青岛266071

出　　处：《青岛大学学报（工程技术版）》2001年第3期1-5,共5页Journal of Qingdao University(Engineering & Technology Edition)

摘　　要：为了克服舰船组合导航Kalman滤波器对异常量测值处理过于简单 (只分为野值、正常值 )的弊端 ,提出在滤波器中加入模糊控制器 ,以便对不同类型的滤波新息进行判别后加权和处理 ,从而增强滤波器对野值的适应能力 ,提高了滤波稳定性和可靠性。In order to overcome the defect of ship integrated navigation filter which treats the measured data simply (only outlier and normal data distinguished) in information pre processing,a fuzzy controller,whose function is to evaluate the different innovation and then offers suitable weight,is added to the Kalman filter.This method has enhanced the filter's applicability to the outliers and also its stability and reliability.

关 键 词：KALMAN滤波 模糊控制器 舰船 组合导航 卡尔曼滤波器 仿真 

分 类 号：U666.11[交通运输工程—船舶及航道工程]