Fuzzy modelling control for aircraft automatic landing system

被引：25

作者：

Juang, JG ^{[1
]}

Chio, JZ ^{[1
]}

机构：

[1] Natl Taiwan Ocean Univ, Dept Commun & Guidance Engn, Chilung 20224, Taiwan

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2005年 / 36卷 / 02期

关键词：

D O I：

10.1080/0020772042000325961

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Aircraft landing control based on fuzzy modelling networks is presented. The proposed scheme uses a fuzzy controller combined with a linearized inverse aircraft model. A multilayered fuzzy neural network is used as the controller, providing the control signals at each stage of the aircraft-landing phase. The algorithm used to train the network is the Backpropagation Through Time. The linearized inverse aircraft model provides the error signals that will be used to back-propagate through the controller at each stage. The objective of this study is to improve the performance of conventional automatic landing systems. The simulation results are described for the automatic landing system of a commercial aeroplane. Tracking performance and robustness are demonstrated through software simulations. Simulation results show that the fuzzy controller can successfully expand the safety envelope to include more hostile environments such as severe turbulence.

引用

页码：77 / 87

页数：11

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