文献类型：期刊文献

英文题名：Optimal Observer-Based Fault Detection and Estimation Approaches for T-S Fuzzy Systems

作者：Li, Linlin[1,2];Ding, Steven X.[3];Peng, Xin[2]

机构：[1]Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Key Lab Knowledge Automat Ind Proc, Minist Educ, Beijing 100083, Peoples R China;[2]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[3]Univ Duisburg Essen, Inst Automat Control & Complex Syst, D-47057 Duisburg, Germany

年份：2022

卷号：30

期号：2

起止页码：579

外文期刊名：IEEE TRANSACTIONS ON FUZZY SYSTEMS

收录：;EI(收录号：20205209676608);WOS:【SCI-EXPANDED(收录号:WOS:000750254200026)】；

基金：This workwas supported in part by theNationalNatural Science Foundation of China under Grant 62073029 and Grant 62003140, in part by Beijing Natural Science Foundation under Grant 4202045, and Shanghai Sailing Program under Grant 18YF1405200, and in part by the Fundamental Research Funds for the Central Universities under Grant 222202017006.

语种：英文

外文关键词：Estimation; Fuzzy systems; Fault detection; Optimization; Observers; Robustness; Generators; Fault detection (FD); fault estimation; least squares (LS) estimation; unified solution

摘要：In this article, optimal observer-based fault detection (FD) and estimation schemes for Takagi-Sugeno fuzzy systems with process faults are investigated. In particular, an optimal FD scheme for fuzzy systems is proposed first aiming at enhancing the sensitivity to the faults and simultaneously increasing robustness against unknown inputs, which gives the extension of the socalled unified solution to fuzzy systems. To further provide the fault information, a least squares fault estimation scheme is developed. It is noteworthy that, the observers for the proposed FD and estimation schemes are updated online recursively. A case study on the laboratory three-tank system is then given to demonstrate the proposed FD and estimation approaches.