Adaptive fault-tolerant tracking control of near-space vehicle using takagi-sugeno fuzzy models

Authors:
Bin Jiang;Zhifeng Gao;Peng Shi;Yufei Xu
Affiliations:
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China;College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China;Department of Computing and Mathematical Sciences, University of Glamorgan, Pontypridd, UK and School of Engineering and Science, Victoria University, Melbourne, Vic, Australia;College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Venue:
IEEE Transactions on Fuzzy Systems
Year:
2010

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Abstract

Based on the adaptive-control technique, this paper deals with 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-fault model 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.