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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This work is supported by the National Natural Science Foundation of China (90816023, 60811120024), Aeronautics Science Foundation of China (2007ZC52039), Natural Science Foundation of Jiangsu Province (BK2007195), Graduate Innovation Research Foundation of Jiangsu Province (CX08B_090Z), Doctoral Innovation Foundation of Nanjing University of Aeronautics and Astronautics (BCXJ08-03) and Engineering and Physical Sciences Research Council of UK (EP/F029195).
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Zhang, K., Jiang, B. & Shi, P. A New Approach to Observer-Based Fault-Tolerant Controller Design for Takagi-Sugeno Fuzzy Systems with State Delay. Circuits Syst Signal Process 28, 679–697 (2009). https://doi.org/10.1007/s00034-009-9109-4
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DOI: https://doi.org/10.1007/s00034-009-9109-4