混杂系统故障诊断的强跟踪滤波器方法  

Fault diagnosis based on strong tracking filter for hybrid systems

作　　者：李雄杰[1,2] 周东华[2] 

机构地区：[1]浙江工商职业技术学院,浙江宁波315012 [2]清华大学自动化系,北京100084

出　　处：《计算机工程与应用》2009年第9期233-236,共4页Computer Engineering and Applications

基　　金：国家自然科学基金(No.60574084)~~

摘　　要：混杂系统是近年来研究的热点,针对混杂系统故障诊断难题,在对混杂系统描述的基础上,给出了混杂系统状态估计及离散模态识别的强跟踪滤波器算法,并将该算法扩展到状态与参数的联合估计,最后利用修正的Bayes算法作出故障判决,实现了混杂系统的故障诊断。通过对两容水箱典型混杂系统故障诊断的仿真实验,验证了该方法的有效性。Hybrid system is one of the hot research topics in recent years.Aiming at the problem of fault diagnosis,strong tracking filter algorithm for hybrid system state estimation and discrete modal identification is given,and this algorithm is spreaded to joint estimation of state and parameters.Modified Bayes algorithm is utilized to decise,and fault diagnosis of hybrid system is implemented.According to simulation experiment about fault diagnosis of two-tank,the typical hybrid system,the algorithm is proved effective.

关 键 词：混杂系统 强跟踪滤波器 故障诊断 状态估计 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]