Title :
Neural network and fuzzy logic approach to aircraft reconfigurable control design
Author :
Chiang, Chi-Yuan ; Youssef, Hussein M.
Author_Institution :
Dept. of Aerosp. Eng., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
Modern aircraft systems require advanced onboard fault detection, isolation and reconfiguration (FDIR) in order to maintain its performance. Current FDIR designs are subject to uncertainty, nonlinearity, and complexity, leading to high false alarm rate and inaccurate feedback control. Recently, the emergence of neural fuzzy technology has generated a great deal of interest in system learning and control. In this paper, we synthesize a FDIR, scheme by combining neural network method with fuzzy logic concept and show the simulation results by using the nonlinear F-16 aircraft model
Keywords :
aircraft control; control system synthesis; fault diagnosis; fuzzy control; fuzzy logic; intelligent control; learning systems; neural nets; neurocontrollers; aircraft reconfigurable control; fault detection; fault isolation; fuzzy control; fuzzy logic; neural network; nonlinear F-16 aircraft model; nonlinearity; system learning; uncertainty; Aircraft; Control systems; Fault detection; Feedback control; Fuzzy control; Fuzzy logic; Fuzzy systems; Isolation technology; Neural networks; Uncertainty;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.533788
