Parameter Estimators for Hybrid Fault Diagnosis in Nonlinear Systems Using Neuro-Fuzzy Techniques.

Autor: Bellali, B., Hazzab, A., Bousserhane, I. K., Lefebvre, D.
Předmět:
Zdroj: International Review of Automatic Control; Nov2011, Vol. 4 Issue 6, p867-874, 8p, 4 Diagrams, 12 Graphs
Abstrakt: This paper presents a new and efficient Adaptive Neural Fuzzy Inference Systems approach for satellite's attitude control systems (ACSs) fault diagnosis. The proposed approach formulates the fault modeling problem of system component into an on-line parameter estimation The proposed solution provides the tools to diagnosis various faults in system components, using Adaptive Fuzzy Inference Systems Parameter Estimators (ANFISPEs). Simulation results show the effectiveness of the developed FDI scheme of an ACSs actuators of a 3-axis stabilized satellite. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index