基于模糊控制的舰船组合导航Kalman滤波器  

Vessel Composite Navigation Kalman Filter Based on Fuzzy Control

作　　者：沈云锋[1] 马林立[1] 

机构地区：[1]海军潜艇学院,山东青岛266071

出　　处：《系统工程与电子技术》2002年第5期23-25,50,共4页Systems Engineering and Electronics

摘　　要：经典的舰船组合导航Kalman滤波器对异常量测值处理过于简单 (只分为野值、正常值 ) ,致使包含新息的略大于正常值的量测数据失去作用 ,从而使滤波器产生波动。为克服这一弊端 ,提出在滤波器中加入模糊控制器 ,模糊规则由专家确定 ,对不同类型的滤波新息进行判别后加权处理 ,从而增强滤波器对野值的适应能力。计算机仿真结果表明 。Since the classical vessel Kalman filter treats the measured data in a simple manner (only outlier and normal data), some measured data will lose its effect on the filter even though it is just a little higher than the normal one, which in turn causes the instability of the filter. In order to overcome this disadvantage, a fuzzy controller whose function is to discriminate different innovations and then offer a suitable weight is added to the Kalman filter in this paper. The fuzzy rules of the controller are decided by the experts knowledge. This method can enhance the filter's adaptability to the outliers. Computer simulatins show that the fuzzy controller adopted can improve the filter's stability and reliability greatly.

关 键 词：模糊控制 舰船组合导航 KALMAN滤波器 

分 类 号：TN713[电子电信—电路与系统] TN96