Control System of Underwater Vehicle Based on Neural Network

被引：0

作者：

Jiang, Chun-Meng ^{[1
]}

Wan, Lei ^{[1
]}

Sun, Yu-Shan ^{[1
]}

机构：

[1] Harbin Engn Univ, State Key Lab Autonomous Underwater Vehicle, Harbin 150001, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON COMPUTERS & INFORMATICS | 2015年 / 13卷

关键词：

Underwater Vehicle(UV); Neural Network; Control system;

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：

A Controller based on Neural Network (CNN) is introduced for motion control of UV. With this controller, an on-line studying method can be adopted without the sample data in several sample periods, resulting in high learning speed of the controller. The developed control system was applied to the 4-dimension control of a UV and succeeded in simulation platform. It is shown that the CNN has a great possibility to deal with the problems on the control system design of the future UV.

引用

页码：2139 / 2145

页数：7

共 5 条

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