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Fuzzy observers for nonlinear dynamic systems fault diagnosis

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3 Author(s)
Patton, R.J. ; Dept. of Electron. Eng., Hull Univ., UK ; Chen, J. ; Lopez-Toribio, C.J.

This paper presents a new fault diagnosis scheme for nonlinear dynamic systems. In this scheme, the residual signal is generated by a fuzzy observer which is based on Takagi-Sugeno fuzzy models. The stability as well as eigenvalue constraint conditions for the fuzzy observer design are presented and solved in the linear matrix inequality framework. Finally, the paper demonstrates the application of fuzzy observers in detecting and isolating intermittent faults in the induction motor of a railway traction system

Published in:

Decision and Control, 1998. Proceedings of the 37th IEEE Conference on  (Volume:1 )

Date of Conference:

1998