A fault-tolerant control strategy for Takagi-Sugeno fuzzy systems

Abstract In this paper, a new active FTC strategy is proposed. First, it is developed in the context of linear systems and then it is extended to Takagi-Sugeno fuzzy systems. The key contribution of the proposed approach is an integrated FTC design procedure of the fault identification and fault-tolerant control schemes. Fault identification is based on the use of an observer. While, the FTC controller is implemented as a state feedback controller. This controller is designed such that it can stabilize the faulty plant using Lyapunov theory and LMIs.

[1]  Jie Chen,et al.  An LMI approach to fault-tolerant control of uncertain systems , 1998, Proceedings of the 1998 IEEE International Symposium on Intelligent Control (ISIC) held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA) Intell.

[2]  Marcin Witczak.  Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems: From Analytical to Soft Computing Approaches , 2007 .

[3]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[4]  J. Geromel,et al.  A new discrete-time robust stability condition , 1999 .

[5]  Der-Cherng Liaw,et al.  Reliable control of nonlinear systems , 2000, IEEE Trans. Autom. Control..

[6]  Michel Kinnaert,et al.  Diagnosis and Fault-Tolerant Control , 2004, IEEE Transactions on Automatic Control.

[7]  Zhihua Qu,et al.  Robust control of a class of nonlinear uncertain systems. Fault tolerance against sensor failures and subsequent self recovery , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[8]  Zhihua Qu,et al.  Robust fault-tolerant self-recovering control of nonlinear uncertain systems , 2003, Autom..

[9]  S. Żak,et al.  Observer design for systems with unknown inputs , 2005 .

[10]  Marcin Witczak,et al.  Advances in model-based fault diagnosis with evolutionary algorithms and neural networks , 2006 .

[11]  Jianliang Wang,et al.  Reliable robust flight tracking control: an LMI approach , 2002, IEEE Trans. Control. Syst. Technol..