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L-infinity Fault Estimation and Fault-Tolerant Control for Nonlinear Systems by T–S Fuzzy Model Method with Local Nonlinear Models
Wang, Yang1; Li, Tieshan1; Wu, Yue3; Yang, Ximing1; Chen, C. L.Philip1,4; Long, Yue2; Yang, Zhixin5; Ning, Jun1
2021-03-24
Source PublicationInternational Journal of Fuzzy Systems
ISSN1562-2479
Volume23Pages:1714-1727
Abstract

This paper investigates the problems of the observer-based fault estimation (FE) and fault-tolerant control (FTC) for nonlinear systems subjected to external disturbances by the T–S fuzzy model method with local nonlinear models. Firstly, an FE strategy is proposed based on the unknown input observer technology, where the local nonlinear terms can be decoupled from the FE error system for relaxing the design of observer. Then, by using the FE information, a fuzzy fault-tolerant controller is designed to guarantee the stability of the system. Additionally, in the design schemes of the FE observer and the fault-tolerant controller, the L∞ method is used to deal with the problems of FE and FTC for the system with persistent disturbance such that the robustness of the system against the persistent external disturbance can be increased. Compared with the traditional H∞ method which is only applicable for dealing with the energy bounded signals, the L∞ FTC strategy proposed in this paper can deal with the persistent disturbance such that the shortcomings of the traditional H∞ approach are overcome. Finally, the effectiveness of the proposed method is verified by simulation results.

KeywordFault Estimation Fault-tolerant Control T–s Fuzzy Systems L1 Method Local Nonlinear Model
DOI10.1007/s40815-021-01061-6
Indexed BySCIE
Language英語English
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS IDWOS:000632298300002
PublisherSPRINGER HEIDELBERGTIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
The Source to ArticlePB_Publication
Scopus ID2-s2.0-85103148283
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Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorLi, Tieshan
Affiliation1.Navigation College, Dalian Maritime University, Dalian, 116026, China
2.School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China
3.School of Electrical Engineering, Southwest Jiaotong University, Chengdu, 611756, China
4.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, 99999, Macao
5.State Key Laboratory of Internet of Things for Smart City and Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Macao
Recommended Citation
GB/T 7714
Wang, Yang,Li, Tieshan,Wu, Yue,et al. L-infinity Fault Estimation and Fault-Tolerant Control for Nonlinear Systems by T–S Fuzzy Model Method with Local Nonlinear Models[J]. International Journal of Fuzzy Systems, 2021, 23, 1714-1727.
APA Wang, Yang., Li, Tieshan., Wu, Yue., Yang, Ximing., Chen, C. L.Philip., Long, Yue., Yang, Zhixin., & Ning, Jun (2021). L-infinity Fault Estimation and Fault-Tolerant Control for Nonlinear Systems by T–S Fuzzy Model Method with Local Nonlinear Models. International Journal of Fuzzy Systems, 23, 1714-1727.
MLA Wang, Yang,et al."L-infinity Fault Estimation and Fault-Tolerant Control for Nonlinear Systems by T–S Fuzzy Model Method with Local Nonlinear Models".International Journal of Fuzzy Systems 23(2021):1714-1727.
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