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Adaptive Fault-Tolerant Tracking Control of Near-Space Vehicle Using Takagi-Sugeno Fuzzy Models

Jiang, Bin and Gao, Zhifeng and Shi, Peng and Xu, Yufei (2010) Adaptive Fault-Tolerant Tracking Control of Near-Space Vehicle Using Takagi-Sugeno Fuzzy Models. IEEE Transactions on Fuzzy Systems, 18 (5). pp. 1000-1007. ISSN 1063-6706

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Abstract

Based on the adaptive-control technique, this paper dealswith the problem of fault-tolerant tracking control for near-space-vehicle (NSV) attitude dynamics. First, Takagi–Sugeno (T–S) fuzzy models are used to describe the NSV attitude dynamics; then, an actuator-faultmodel is developed. Next, an adaptive fault-tolerant tracking-control scheme is proposed based on the online estimation of actuator faults, in which a compensation control term is introduced in order to reduce the effect of actuator faults. Compared with some existing results of fault-tolerant control (FTC) in nonlinear systems, the technique presented in this paper is not dependent on fault detection and isolation (FDI) mechanism and is easy to implement in aerospace-engineering applications. Finally, simulation results are given to illustrate the effectiveness and potential of the proposed FTC scheme.

Item Type: Article
Uncontrolled Keywords: ResPubID19950, actuator faults, adaptive control, fault-tolerant tracking control, Takagi–Sugeno (T–S) fuzzy models
Subjects: Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
FOR Classification > 0802 Computation Theory and Mathematics
SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences
Depositing User: VUIR
Date Deposited: 19 Dec 2011 04:23
Last Modified: 19 Dec 2011 04:23
URI: http://vuir.vu.edu.au/id/eprint/7452
DOI: 10.1109/TFUZZ.2010.2058808
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Citations in Scopus: 103 - View on Scopus

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