摘要
本文首先推导证明当参考模型和实际系统不相吻合时,根据参考模型建立的Kalman滤波器所产生的估计残差将与模型的偏离程度成正比,据此给出故障检测方法;其次推导出状态偏差形式的系统方程;最后将B·Friedland提出的分离估计法推广到状态偏差估计中,并进一步提出状态偏差估计的二级分解算法。
In this paper,it is shown that the residual process produced by kalman's filter which is based on the reference system is directly proportional to the mismatch degree of model, and a method of fault detectoon is presented. In addition, system equation in state error form is given. For simplifying estimation, the two-decomposition algorithm for state error estimation is also proposed. By various simulations, it is shown that us-ing this mathod we not only can judge whether there are fault but also can effectively estimate the process state, state error, and fault variables in system.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
1989年第3期101-107,共7页
Control Theory & Applications
基金
国家自然科学基金
关键词
故障检测
滤波
分解估计
可靠性
Fault detection
Fault diagnosis
Reliability
Filtering Decomposition estimation
