Development of autonomous flight control systems for unmanned helicopter by use of neural networks

被引：1
|
作者：
Nakanishi, H [1 ]
Inoue, K [1 ]
机构：
[1] Grad Sch Engn, Dept Aeronaut & Astronaut, Kyoto, Japan
来源：
PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 | 2002年
关键词：
D O I：
10.1109/IJCNN.2002.1007558
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 describes approaches to develop command and control systems for UAVs. YAMAHA RNTAX, which is an unmanned helicopter, is used in this study. The dynamics of RMAX is nonlinear, so that it is hard to develop autonomous flight control systems, but an efficient method to design controllers by training neural networks is proposed in this paper. Methods to develop controllers for feedback linearization and robust control systems are described and numerical simulations show the effectiveness of our method.
引用
收藏
页码：2626 / 2631
页数：2
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