Autonomous flight control system for unmanned helicopter using neural networks

被引：0

作者：

Nakanishi, H ^{[1
]}

Hashimoto, H ^{[1
]}

Hosokawa, N ^{[1
]}

Sato, A ^{[1
]}

Inoue, K ^{[1
]}

机构：

[1] Kyoto Univ, Grad Sch Engn, Sakyo Ku, Kyoto, Japan

来源：

SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5 | 2002年

关键词：

neural network; Unmanned Aerial Vehicle(UAV); autonomous flight; robust control;

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 describes methods to develop autonomous flight control systems for UAV's. The unmanned helicopter "RMAX" produced by YAMAHA Motor Co., LTD. is used in this study. It was difficult to develop flight control systems, because the. dynamics of the helicopter is nonlinear. An efficient. method to design controllers by training neural networks, is proposed in this paper. It is easy to use trained neural network together with online training neural networks or adaptive controllers to compensate undesirable effects which are not modeled or sudden changes of the target and environment., therefore the. control system can be highly reliable. Results of flight experiments axe shown to demonstrate the effectiveness of our approach.

引用

页码：777 / 782

页数：6

共 7 条

[1]

HEIGES MW, P AIAA GUID NAV CONT, P207

[2] Nonlinear flight control using neural networks [J].