Implementation of adaptive fuzzy sliding mode control for nonlinear uncertain serial pneumatic-artificial-muscle (PAM) robot system

Cao Van Kien, T. T. Huan, Do Thanh Thai, H. Anh
{"title":"Implementation of adaptive fuzzy sliding mode control for nonlinear uncertain serial pneumatic-artificial-muscle (PAM) robot system","authors":"Cao Van Kien, T. T. Huan, Do Thanh Thai, H. Anh","doi":"10.1109/ICSSE.2017.8030842","DOIUrl":null,"url":null,"abstract":"This paper proposes a new advanced adaptive fuzzy sliding mode control (AAFSMC) approach and their suitability for use in the control of a highly nonlinear 2-dof serial PAM robot. Stability proof of the stable convergence of the overall closed-loop serial PAM robot system under novel AAFSMC control is demonstrated based on Lyapunov stability principle. Simulation results prove that the proposed AAFSMC control algorithm, applied to a two degree of freedom nonlinear serial PAM robot, are successfully designed and implemented with better performance and robustness in comparison with previous SMC and fuzzy SMC approaches.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE.2017.8030842","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

This paper proposes a new advanced adaptive fuzzy sliding mode control (AAFSMC) approach and their suitability for use in the control of a highly nonlinear 2-dof serial PAM robot. Stability proof of the stable convergence of the overall closed-loop serial PAM robot system under novel AAFSMC control is demonstrated based on Lyapunov stability principle. Simulation results prove that the proposed AAFSMC control algorithm, applied to a two degree of freedom nonlinear serial PAM robot, are successfully designed and implemented with better performance and robustness in comparison with previous SMC and fuzzy SMC approaches.
非线性不确定串联气动-人工肌肉(PAM)机器人系统的自适应模糊滑模控制实现
本文提出了一种先进的自适应模糊滑模控制方法(AAFSMC),该方法适用于高度非线性的2自由度串联PAM机器人的控制。基于李雅普诺夫稳定性原理,证明了新型AAFSMC控制下整体闭环串联PAM机器人系统的稳定收敛性。仿真结果表明,所提出的AAFSMC控制算法应用于二自由度非线性串联PAM机器人,与以往的SMC和模糊SMC方法相比,具有更好的性能和鲁棒性。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信