Fault Detection and Diagnosis for a class of Linear Time-Varying (LTV) Discrete-Time Uncertain Systems using Interval Observers

被引:0
|
作者
Yi, Zeren [1 ,2 ]
Xie, Wei [1 ]
Khan, Awais [1 ]
Xu, Bugong [1 ]
机构
[1] South China Univ Technol, Sch Automat Sci & Engn, Guangzhou 510641, Guangdong, Peoples R China
[2] Guangxi Univ, Sch Elect Engn, Nanning 530004, Peoples R China
来源
PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE | 2020年
关键词
Fault Detection; Fault Diagnosis; Linear Time-Varying Systems; Interval Observer; LPV SYSTEMS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper is concerned with the fault detection and diagnosis (FDD) problem for linear time-varying (LTV) discrete time uncertain systems subject to component faults and uncertainties. The EDD interval observer is designed to deal with these component faults and uncertainties. The proposed interval state estimator guaranteed bounds on the observed states that are consistent with the system states. The observer convergence is also ensured. The designed method is simple and easy to be implemented. Furthermore, without the need to design the residual evaluation functions and thresholds, the residual intervals generated by the interval observers are used directly for FDD decision. Finally, the simulation result is presented to show the effectiveness and superiority of the proposed method.
引用
收藏
页码:4124 / 4128
页数:5
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