机器人机械手跟踪控制的鲁棒自适应新算法

C. Huang, X. Peng, X. G. Wang, S. Shi
{"title":"机器人机械手跟踪控制的鲁棒自适应新算法","authors":"C. Huang, X. Peng, X. G. Wang, S. Shi","doi":"10.2316/Journal.206.2008.2.206-2966","DOIUrl":null,"url":null,"abstract":"Based on a continuous piecewise-differentiable increasing function (CPDIF), a new simple robust-adaptive tracking control algorithm is proposed in this paper for robot manipulators. In the structure of the proposed adaptive controller, output of the estimator is filtered by some CPDIF and then is employed in the controller. Therefore, in some sense, this robust-adaptive approach can be taken as the extension of the conventional adaptive scheme. Due to this bounded filter function, phenomena of parameter drift are overcome accordingly. When the true parameters are contained within the estimated parameter range, asymptotic stability is obtained even though persistency of excitation is not satisfied. Furthermore, the designed controller renders the resulting system uniformly ultimately bounded stable in the presence of disturbance and/or the improper estimate of parameter range especially, namely, robustness is also guaranteed. Finally, simulation results demonstrate the above statements.","PeriodicalId":206015,"journal":{"name":"Int. J. Robotics Autom.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"New robust-Adaptive Algorithm for Tracking Control of robot manipulators\",\"authors\":\"C. Huang, X. Peng, X. G. Wang, S. Shi\",\"doi\":\"10.2316/Journal.206.2008.2.206-2966\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on a continuous piecewise-differentiable increasing function (CPDIF), a new simple robust-adaptive tracking control algorithm is proposed in this paper for robot manipulators. In the structure of the proposed adaptive controller, output of the estimator is filtered by some CPDIF and then is employed in the controller. Therefore, in some sense, this robust-adaptive approach can be taken as the extension of the conventional adaptive scheme. Due to this bounded filter function, phenomena of parameter drift are overcome accordingly. When the true parameters are contained within the estimated parameter range, asymptotic stability is obtained even though persistency of excitation is not satisfied. Furthermore, the designed controller renders the resulting system uniformly ultimately bounded stable in the presence of disturbance and/or the improper estimate of parameter range especially, namely, robustness is also guaranteed. Finally, simulation results demonstrate the above statements.\",\"PeriodicalId\":206015,\"journal\":{\"name\":\"Int. J. Robotics Autom.\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Robotics Autom.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2316/Journal.206.2008.2.206-2966\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Robotics Autom.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2316/Journal.206.2008.2.206-2966","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

基于连续分段可微递增函数(CPDIF),提出了一种简单的机器人机械手鲁棒自适应跟踪控制算法。在该自适应控制器的结构中,对估计器的输出进行CPDIF滤波,然后应用于控制器中。因此,从某种意义上说,这种鲁棒自适应方法可以看作是传统自适应方案的扩展。由于该有界滤波函数的存在,克服了参数漂移现象。当真实参数包含在估计参数范围内时,即使不满足激励的持续性,也能获得渐近稳定性。此外,所设计的控制器使系统在存在干扰和/或参数范围估计不当的情况下保持一致最终有界稳定,即鲁棒性也得到了保证。最后,仿真结果验证了上述结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
New robust-Adaptive Algorithm for Tracking Control of robot manipulators
Based on a continuous piecewise-differentiable increasing function (CPDIF), a new simple robust-adaptive tracking control algorithm is proposed in this paper for robot manipulators. In the structure of the proposed adaptive controller, output of the estimator is filtered by some CPDIF and then is employed in the controller. Therefore, in some sense, this robust-adaptive approach can be taken as the extension of the conventional adaptive scheme. Due to this bounded filter function, phenomena of parameter drift are overcome accordingly. When the true parameters are contained within the estimated parameter range, asymptotic stability is obtained even though persistency of excitation is not satisfied. Furthermore, the designed controller renders the resulting system uniformly ultimately bounded stable in the presence of disturbance and/or the improper estimate of parameter range especially, namely, robustness is also guaranteed. Finally, simulation results demonstrate the above statements.
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
自引率
0.00%
发文量
0
期刊最新文献
On solving the kinematics and Controlling of Origami Box-shaped robot, 405-415. Si Consensus of Multi-Agent Systems using Back-tracking and History following Algorithms Stabilizing control Algorithm for nonholonomic wheeled Mobile robots using adaptive integral sliding mode A velocity compensation Visual servo method for oculomotor control of bionic eyes On-Line trajectory Generation considering kinematic motion Constraints for robot manipulators
×
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