存在外部扰动和部分已知模型的机器人非奇异定时滑模控制器

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Marco A. Arteaga, Emmanuel Moulay, Michael Defoort
{"title":"存在外部扰动和部分已知模型的机器人非奇异定时滑模控制器","authors":"Marco A. Arteaga,&nbsp;Emmanuel Moulay,&nbsp;Michael Defoort","doi":"10.1002/rnc.7772","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>The current contribution introduces a nonsingular fixed-time sliding mode control (SMC) scheme for position and velocity tracking of robot manipulators. The approach avoids singularities by introducing a new sliding surface with the special attribute that the exponent employed to achieve fixed time convergence depends on the tracking error and is smaller than one except when the error is exactly zero, whereas the exponent becomes one at zero, which makes the derivative at zero to be well defined. A new theoretical result has been introduced in the form of a lemma to prove this innovative property. Furthermore, model uncertainties are handled by means of a time-varying gain given by a polynomial of the powers of the norms of the tracking and velocity errors. The fixed-time convergence is proven employing Lyapunov theory, and the result holds globally. Simulation outcomes confirm the developed theory, and the advantages of the proposed scheme are shown qualitatively by comparing its performance with well-known equivalent control schemes.</p>\n </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 6","pages":"2010-2026"},"PeriodicalIF":3.2000,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Nonsingular Fixed-Time Sliding Mode Controller for Robot Manipulators in the Presence of External Perturbations and Partially Known Model\",\"authors\":\"Marco A. Arteaga,&nbsp;Emmanuel Moulay,&nbsp;Michael Defoort\",\"doi\":\"10.1002/rnc.7772\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>The current contribution introduces a nonsingular fixed-time sliding mode control (SMC) scheme for position and velocity tracking of robot manipulators. The approach avoids singularities by introducing a new sliding surface with the special attribute that the exponent employed to achieve fixed time convergence depends on the tracking error and is smaller than one except when the error is exactly zero, whereas the exponent becomes one at zero, which makes the derivative at zero to be well defined. A new theoretical result has been introduced in the form of a lemma to prove this innovative property. Furthermore, model uncertainties are handled by means of a time-varying gain given by a polynomial of the powers of the norms of the tracking and velocity errors. The fixed-time convergence is proven employing Lyapunov theory, and the result holds globally. Simulation outcomes confirm the developed theory, and the advantages of the proposed scheme are shown qualitatively by comparing its performance with well-known equivalent control schemes.</p>\\n </div>\",\"PeriodicalId\":50291,\"journal\":{\"name\":\"International Journal of Robust and Nonlinear Control\",\"volume\":\"35 6\",\"pages\":\"2010-2026\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Robust and Nonlinear Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/rnc.7772\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Robust and Nonlinear Control","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rnc.7772","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

本文介绍了一种用于机器人机械手位置和速度跟踪的非奇异定时滑模控制方案。该方法通过引入一个新的滑动曲面来避免奇异性,该滑动曲面具有特殊的属性,即用于实现固定时间收敛的指数取决于跟踪误差,除非误差为零,否则指数小于1,而指数在零处变为1,这使得在零处的导数具有良好的定义。一个新的理论结果以引理的形式被引入来证明这一创新性质。此外,模型的不确定性是通过由跟踪和速度误差的范数幂的多项式给出的时变增益来处理的。利用李雅普诺夫理论证明了该算法的定时收敛性,结果在全局范围内成立。仿真结果证实了所提出的理论,并通过与已知等效控制方案的性能比较定性地证明了所提方案的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Nonsingular Fixed-Time Sliding Mode Controller for Robot Manipulators in the Presence of External Perturbations and Partially Known Model

The current contribution introduces a nonsingular fixed-time sliding mode control (SMC) scheme for position and velocity tracking of robot manipulators. The approach avoids singularities by introducing a new sliding surface with the special attribute that the exponent employed to achieve fixed time convergence depends on the tracking error and is smaller than one except when the error is exactly zero, whereas the exponent becomes one at zero, which makes the derivative at zero to be well defined. A new theoretical result has been introduced in the form of a lemma to prove this innovative property. Furthermore, model uncertainties are handled by means of a time-varying gain given by a polynomial of the powers of the norms of the tracking and velocity errors. The fixed-time convergence is proven employing Lyapunov theory, and the result holds globally. Simulation outcomes confirm the developed theory, and the advantages of the proposed scheme are shown qualitatively by comparing its performance with well-known equivalent control schemes.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
×
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