Research on Fault Diagnosis and Accommodation Based On Neural Network Fuzzy Model

被引：0

作者：

Li Jie ^{[1
]}

Jiang Bin ^{[1
]}

Liu Chunsheng ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE | 2010年

关键词：

Neural Network; Fuzzy Observer; Flight Control Systems; Fault Diagnosis and Accommodation; SYSTEMS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：3984 / 3987

页数：4

共 4 条

[1] [Anonymous], EUR CONTR C GREN FRA
[2] Blakelock John H., 1991, Automatic Control of Aircraft and Missiles, V2nd
[3] Fault accommodation of a class of multivariable nonlinear dynamical systems using a learning approach
Polycarpou, MM
[J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2001, 46 (05) : 736 - 742
[4] FUZZY IDENTIFICATION OF SYSTEMS AND ITS APPLICATIONS TO MODELING AND CONTROL
TAKAGI, T
SUGENO, M
[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1985, 15 (01): : 116 - 132

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