Fault diagnosis based on strong tracking filter for hybrid systems

doi:10.3778/j.issn.1002-8331.2009.09.068

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (9): 233-236.DOI: 10.3778/j.issn.1002-8331.2009.09.068

• 工程与应用 • Previous Articles Next Articles

Fault diagnosis based on strong tracking filter for hybrid systems

LI Xiong-jie^1,2,ZHOU Dong-hua²

1.Zhejiang Business Technology Institute，Ningbo，Zhejiang 315012，China
2.Department of Automation，Tsinghua University，Beijing 100084，China

Received:2008-01-28 Revised:2008-04-09 Online:2009-03-21 Published:2009-03-21
Contact: LI Xiong-jie

混杂系统故障诊断的强跟踪滤波器方法

李雄杰^1,2,周东华²

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

通讯作者: 李雄杰

Abstract

Abstract: 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.

Key words: hybrid system, strong tracking filter, fault diagnosis, state estimation

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。

关键词: 混杂系统, 强跟踪滤波器, 故障诊断, 状态估计

LI Xiong-jie^1,2,ZHOU Dong-hua². Fault diagnosis based on strong tracking filter for hybrid systems[J]. Computer Engineering and Applications, 2009, 45(9): 233-236.

李雄杰^1,2,周东华². 混杂系统故障诊断的强跟踪滤波器方法[J]. 计算机工程与应用, 2009, 45(9): 233-236.

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Fault diagnosis based on strong tracking filter for hybrid systems

混杂系统故障诊断的强跟踪滤波器方法

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