Automatic landing control using particle swarm optimization

被引：0

作者：

Juang, JG ^{[1
]}

Lin, BS ^{[1
]}

Chin, KC ^{[1
]}

机构：

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

来源：

2005 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS | 2005年

关键词：

particle swarm optimization; automatic landing system; fuzzy-neural controller;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes an intelligent aircraft automatic landing controller that uses fuzzy-neural controller with particle swarm optimization to improve the performance of conventional automatic landing system. Control gains are selected by a parameter searching method called particle swarm theory. Comparisons on different control schemes are given. Simulation results show that the proposed automatic landing controller can successfully expand the safety envelope of an aircraft to include severe wind disturbance environments without using the conventional gain scheduling technique.

引用

页码：721 / 726

页数：6

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