Abstract:
This paper addresses the problem of robust fault estimation and fault tolerant control (FTC) for Takagi–Sugeno (T–S) fuzzy systems. A fuzzy-augmented fault estimation ob...Show MoreMetadata
Abstract:
This paper addresses the problem of robust fault estimation and fault tolerant control (FTC) for Takagi–Sugeno (T–S) fuzzy systems. A fuzzy-augmented fault estimation observer (AFEO) design is proposed to achieve fault estimation of T–S models with actuator faults. Furthermore, based on the information of online fault estimation, an observer-based dynamic output feedback-fault tolerant controller (DOFFTC) is designed to compensate for the effect of faults by stabilizing the closed-loop system. Sufficient conditions for the existence of both AFEO and DOFFTC are given in terms of linear matrix inequalities. Simulation results of an inverted pendulum system are presented to illustrate the effectiveness of the proposed method.
Published in: IEEE Transactions on Fuzzy Systems ( Volume: 18, Issue: 1, February 2010)
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
SATIE, Ecole normale supérieure de Cachan, Centre national de la recherche scientifique, Cachan Cedex, France
SATIE, Ecole normale supérieure de Cachan, Centre national de la recherche scientifique, Cachan Cedex, France
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
SATIE, Ecole normale supérieure de Cachan, Centre national de la recherche scientifique, Cachan Cedex, France
SATIE, Ecole normale supérieure de Cachan, Centre national de la recherche scientifique, Cachan Cedex, France