Leader-following formation control of multi-robot systems with adaptive fuzzy terminal sliding-mode controller

Yeong-Hwa Chang, Cheng-Yuan Yang, W. Chan, Chia-Wen Chang, C. Tao
{"title":"Leader-following formation control of multi-robot systems with adaptive fuzzy terminal sliding-mode controller","authors":"Yeong-Hwa Chang, Cheng-Yuan Yang, W. Chan, Chia-Wen Chang, C. Tao","doi":"10.1109/ICSSE.2013.6614631","DOIUrl":null,"url":null,"abstract":"This paper focuses on the design of a formation controller for multi-robot dynamic systems using adaptive fuzzy terminal sliding-mode techniques. The dynamic model of differential wheeled robots is considered. To achieve finite time leader-follower formation control, a fuzzy terminal sliding-mode controller is derived based on graph theory and consensus algorithm. Moreover, an adaptive law is provided to estimate the bounds of unknown uncertainties. Both simulation and experimental results are applied to validate the formation performance. It is indicated that the proposed adaptive control scheme can provide better leader-following formation responses of networked multiple robots.","PeriodicalId":124317,"journal":{"name":"2013 International Conference on System Science and Engineering (ICSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE.2013.6614631","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

This paper focuses on the design of a formation controller for multi-robot dynamic systems using adaptive fuzzy terminal sliding-mode techniques. The dynamic model of differential wheeled robots is considered. To achieve finite time leader-follower formation control, a fuzzy terminal sliding-mode controller is derived based on graph theory and consensus algorithm. Moreover, an adaptive law is provided to estimate the bounds of unknown uncertainties. Both simulation and experimental results are applied to validate the formation performance. It is indicated that the proposed adaptive control scheme can provide better leader-following formation responses of networked multiple robots.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于自适应模糊终端滑模控制器的多机器人系统leader -follow队列控制
本文研究了一种基于自适应模糊终端滑模技术的多机器人动态系统编队控制器的设计。研究差动轮式机器人的动力学模型。为了实现有限时间的leader-follower群体控制,基于图论和一致性算法推导了模糊终端滑模控制器。此外,给出了一种估计未知不确定性边界的自适应律。利用模拟和实验结果验证了储层的性能。结果表明,所提出的自适应控制方案能够提供网络化多机器人较好的leader-follow队列响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Clustering of text collections based on PART neural network and similarity measure Target object announcement by synchronous blinking of a robot and an object Design and implementation of adaptive dynamic controllers for wheeled mobile robots Applying weighted mean aggregation to edge detection of images Adaptive dynamic surface control for fault-tolerant multi-robot systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1