[1]张玉洁,徐刚.基于神经网络的视觉机器人模糊控制[J].深圳大学学报理工版,2004,21(4):301-305.
 ZHANG Yu-jie and XU Gang.Fuzzy control of visual robot based on neural network[J].Journal of Shenzhen University Science and Engineering,2004,21(4):301-305.
点击复制

基于神经网络的视觉机器人模糊控制()
分享到:

《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第21卷
期数:
2004年4期
页码:
301-305
栏目:
光电与信息工程
出版日期:
2004-10-30

文章信息/Info

Title:
Fuzzy control of visual robot based on neural network
文章编号:
1000-2618(2004)04-0301-05
作者:
张玉洁徐刚
深圳大学工程技术学院, 深圳 518060
Author(s):
ZHANG Yu-jie and XU Gang
College of Engineering and Technology, Shenzhen University,Shenzhen 518060,P. R. China
关键词:
视觉伺服机器人人工神经网络模糊控制
Keywords:
visual servo robot neural network fuzzy control
分类号:
TP 242
文献标志码:
A
摘要:
设计人工神经网络(ANN)替代机器人的图像雅克比矩阵,基于ANN和视觉机器人构成的增广被控对象设计了模糊控制器,组成了基于神经网络和模糊逻辑的机器人视觉伺服控制系统,给出了实验结果.实验表明,该方法简捷、易行、有效.
Abstract:
A neural network is designed for an eye-in-hand visual servo robot system to replace the Image Jaccobi Matrix of the robot. An augmented design plant model is formed by jointing the GRB-400 robot and the network. Fuzzy controller based on the augment design plant is designed to form a steady visual servo motion feedback control system. Experiment results show that this method is effective.

相似文献/References:

[1]费跃农,吴青华.基于学习自动机阵列的模糊规则学习方法[J].深圳大学学报理工版,2007,24(1):85.
 FEI Yue-nong and WU Qing-hua.An approach of learning fuzzy rules based on learning automata arrays[J].Journal of Shenzhen University Science and Engineering,2007,24(4):85.
[2]郭小勤,费跃农,徐刚,等.机器人视觉伺服仿真系统研究[J].深圳大学学报理工版,2002,19(3):37.
 GUO Xiao-qin,FEI Fue-nong,XU Gang,et al.A Simulation System of Visual Servo Control of the Robotic Manipulator[J].Journal of Shenzhen University Science and Engineering,2002,19(4):37.

更新日期/Last Update: 2015-11-06