中国科学院沈阳自动化研究所机构知识库
Advanced  
SIA OpenIR  > 空间自动化技术研究室  > 期刊论文
题名: PD iterative self-learning control for 3R plane robot trajectory tracking
作者: Gao HW(高宏伟) ; Hong, Kun ; Liu JG(刘金国) ; Leng YQ(冷雨泉) ; Liu CY(刘传银)
作者部门: 空间自动化技术研究室
关键词: PD iterative control ; self-learning ; planar 3-link ; trajectory tracking
刊名: Telkomnika - Indonesian Journal of Electrical Engineering
ISSN号: 2302-4046
出版日期: 2013
卷号: 11, 期号:10, 页码:5945-5953
收录类别: EI
产权排序: 1
摘要: In order to improve the speed and accuracy of the trajectory tracking control for 3R plane robot, a PD iterative self-learning control algorithm is proposed based on the PD iterative control algorithm. The error of target value and the actual value of this iteration is introduced into the PD learning gain to make the PD learning gain becomes a function of the error and to achieve the effect of self-learning. Simulation analysis of planar 3-link robot trajectory control shows that the proposed algorithm is better than unmodified in speed ability and accuracy. © 2013 Universitas Ahmad Dahlan.
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/15437
Appears in Collections:空间自动化技术研究室_期刊论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
PD iterative self-learning control for 3R plane robot trajectory tracking.pdf(204KB)----开放获取View Download

Recommended Citation:
高宏伟; Hong, Kun;刘金国;冷雨泉;刘传银;.PD iterative self-learning control for 3R plane robot trajectory tracking,Telkomnika - Indonesian Journal of Electrical Engineering,2013,11(10):5945-5953
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[高宏伟]'s Articles
[Hong, Kun]'s Articles
[刘金国]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[高宏伟]‘s Articles
[Hong, Kun]‘s Articles
[刘金国]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: PD iterative self-learning control for 3R plane robot trajectory tracking.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2016  中国科学院沈阳自动化研究所 - Feedback
Powered by CSpace