Fault accommodation for nonlinear systems using cerebellar model articulation controller

Author

Lin, Chih-Min ; Liu, Yu-Ju ; Chen, Chiu-Hsiung ; Chen, Li-Yang

Author_Institution

Dept. of Electr. Eng., Yuan-Ze Univ., Tao-Yuan, Taiwan

Volume

2

fYear

2004

fDate

25-29 July 2004

Firstpage

879

Abstract

This paper presents a learning approach using cerebellar-model-articulation-controller (CMAC) to accommodate faults for nonlinear dynamic systems. A CMAC with Gaussian-type receptive-field basis function is proposed to estimate the unknown fault. Then, a robust fault accommodation scheme is derived based on Lyapunov stability theorem. Finally, the proposed fault accommodation system is applied to a jet engine compression system. Simulation results show that this method can effectively achieve the fault accommodation.

Keywords

Gaussian processes; Lyapunov methods; cerebellar model arithmetic computers; fault diagnosis; jet engines; learning systems; neurocontrollers; nonlinear dynamical systems; stability; CMAC; Gaussian function; Lyapunov stability theorem; cerebellar model articulation controller; fault estimation; jet engine compression system; learning approach; nonlinear dynamic systems; receptive field basis function; robust fault accommodation system; Control systems; Design methodology; Gaussian processes; Lyapunov method; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Power system modeling; Robust stability; Stability analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on

ISSN

1098-7576

Print_ISBN

0-7803-8359-1

Type

conf

DOI

10.1109/IJCNN.2004.1380045

Filename

1380045