山东大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (5): 136-142.doi: 10.6040/j.issn.1672-3961.0.2017.212
黄洁,何潇*
HUANG Jie, HE Xiao*
摘要: 针对出现测量死区的离散系统,提出一种基于两阶段TKF的故障估计方法。引入2个Bernoulli随机向量描述输出死区,并设计了增广状态Tobit卡尔曼滤波器(augmented state Tobit Kalman filter, ASTKF)。通过两步U-V变换方法对ASTKF的协方差矩阵解耦,从而获得两阶段Tobit卡尔曼滤波器(two-stage Tobit Kalman filter, TSTKF),并且利用TSTKF解决了系统故障估计问题。对所提出方法进行仿真,并与标准卡尔曼滤波器、间歇观测下的卡尔曼滤波器进行比较,说明了该方法的可行性和准确性。
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