A new approach to observer-based fault-tolerant controller design for Takagi-Sugeno fuzzy systems with state delay

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Zhang, Ke, Jiang, Bin and Shi, Peng (2009) A new approach to observer-based fault-tolerant controller design for Takagi-Sugeno fuzzy systems with state delay. Circuits Systems and Signal Processing , 28 (5). pp. 679-697. ISSN 0278-081X

Abstract

This paper deals with the problem of active fault-tolerant control (FTC) for time-delay Takagi-Sugeno (T-S) fuzzy systems based on a fuzzy adaptive fault diagnosis observer (AFDO). A novel fuzzy fast adaptive fault estimation (FAFE) algorithm for T-S fuzzy models is proposed to enhance the performance of fault estimation, and sufficient conditions for the existence of the fault estimator are given in terms of linear matrix inequalities (LMIs). Using the obtained on-line fault estimation information, an observer-based fast active fault-tolerant controller is designed to compensate for the effect of faults by stabilizing the closed-loop system. Simulation results of a track trail system and a nonlinear numerical example are presented to illustrate the effectiveness of the proposed method.

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/4733
DOI https://doi.org/10.1007/s00034-009-9109-4
Official URL http://dx.doi.org/10.1007/s00034-009-9109-4
Subjects Historical > SEO Classification > 970109 Expanding Knowledge in Engineering
Historical > Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
Historical > FOR Classification > 0199 Other Mathematical Sciences Information Systems
Keywords ResPubID17725, active fault-tolerant control, fault estimation, T-S fuzzy models, time-delay systems, LMIs
Citations in Scopus 102 - View on Scopus
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