Title :
Fuzzy observers for nonlinear dynamic systems fault diagnosis
Author :
Patton, R.J. ; Chen, J. ; Lopez-Toribio, C.J.
Author_Institution :
Dept. of Electron. Eng., Hull Univ., UK
Abstract :
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
Keywords :
eigenvalues and eigenfunctions; fault diagnosis; fuzzy set theory; induction motor drives; matrix algebra; nonlinear dynamical systems; observers; railways; traction motor drives; Takagi-Sugeno models; eigenvalue constraint; fault diagnosis; fuzzy observer; fuzzy set theory; induction motor; linear matrix inequality; nonlinear dynamic systems; railway traction; stability; Eigenvalues and eigenfunctions; Fault detection; Fault diagnosis; Fuzzy systems; Induction motors; Linear matrix inequalities; Rail transportation; Signal generators; Stability; Takagi-Sugeno model;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.760594
