Title :
Research on fault diagnosis and accommodation based on neural network fuzzy model
Author :
Li Jie ; Jiang Bin ; Liu Chunsheng
Author_Institution :
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
This paper is related to fault diagnosis and accommodation approach based on neural network, which can be used for flight control systems. A radial basis function (RBF) neural network is designed to approximate the fault, and a fuzzy observer is used to estimate the fault. A new controller is reconfigured in order to compensate the effect of the fault. At last, simulation results of an F-16 aircraft example are given to verify the availability of the proposed method.
Keywords :
aircraft control; compensation; fault diagnosis; fuzzy neural nets; neurocontrollers; observers; radial basis function networks; F-16 aircraft; RBF neural network; fault compensation; fault diagnosis; fault estimation; flight control system; fuzzy observer; neural network fuzzy model; radial basis function neural network; Aerospace control; Aircraft; Artificial neural networks; Bismuth; Electronic mail; Fault diagnosis; Observers; Fault Diagnosis and Accommodation; Flight Control Systems; Fuzzy Observer; Neural Network;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
