Diagnostic Observer Design for T-S Fuzzy Systems: Application to Real-Time-Weighted Fault-Detection Approach

被引:105
作者
Li, Linlin [1 ]
Chadli, Mohammed [2 ]
Ding, Steven X. [3 ]
Qiu, Jianbin [4 ]
Yang, Ying [5 ]
机构
[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
[2] Univ Picardie Jules Verne, MIS EA 4290, F-80039 Amiens, France
[3] Univ Duisburg Essen, Inst Automat Control & Complex Syst AKS, Duisburg, Germany
[4] Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 150080, Heilongjiang, Peoples R China
[5] Peking Univ, Coll Engn, Dept Mech & Engn Sci, State Key Lab Turbulence & Complex Syst, Beijing 100871, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
Diagnostic observer; fault-detection (FD) systems; fault sensitivity; fuzzy Lyapunov functions; PIECEWISE LYAPUNOV FUNCTIONS; NETWORKED CONTROL-SYSTEMS; NONLINEAR-SYSTEMS; TRACKING CONTROL; DYNAMIC-SYSTEMS; MODEL; FILTER;
D O I
10.1109/TFUZZ.2017.2690627
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper deals with a real-time-weighted observer-based fault-detection (FD) scheme for Takagi-Sugeno (T-S) fuzzy systems. The essential idea is to develop a weighted diagnostic observer-based FD system to optimize the worst case robustness and fault sensitivity simultaneously by using the information provided by each local system. To achieve an early detection of potential fault, the robustness issue is investigated in the L-infinity/L-2 observer-based FD context. Meanwhile, the L- fault sensitivity condition is addressed to optimize the fault detectability. Using fuzzy Lyapunov functions, sufficient conditions on the FD system design are studied. Two examples are given in the end to show the efficiency of the proposed results.
引用
收藏
页码:805 / 816
页数:12
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