Extended state observer based sliding mode control with prescribed performance for underwater vehicle manipulator system

Hong‐Du Wang, Zhi Lin, M. Karkoub, Deniz Kerimoglu
{"title":"Extended state observer based sliding mode control with prescribed performance for underwater vehicle manipulator system","authors":"Hong‐Du Wang, Zhi Lin, M. Karkoub, Deniz Kerimoglu","doi":"10.1109/CACRE50138.2020.9230230","DOIUrl":null,"url":null,"abstract":"In this paper, a design method of extended state observer (ESO)-based sliding mode control is proposed for underwater vehicle manipulator systems (UVMSs) with prescribed performance. First, the system model is reformulated by lumping the unknown uncertainties and disturbances into a total disturbance. Then, an ESO is developed to estimate the total disturbance. Based on ESO, the prescribed performance is defined to limit upper bounds of tracking error and then a sliding mode controller is proposed to ensure that all the signals are ultimately uniformly bounded (UUB). Moreover, the tracking errors can converge to the neighborhood of zero in finite-time and satisfy the prescribed performances. Finally, simulation results are presented to show the effectiveness of the proposed controller.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CACRE50138.2020.9230230","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

In this paper, a design method of extended state observer (ESO)-based sliding mode control is proposed for underwater vehicle manipulator systems (UVMSs) with prescribed performance. First, the system model is reformulated by lumping the unknown uncertainties and disturbances into a total disturbance. Then, an ESO is developed to estimate the total disturbance. Based on ESO, the prescribed performance is defined to limit upper bounds of tracking error and then a sliding mode controller is proposed to ensure that all the signals are ultimately uniformly bounded (UUB). Moreover, the tracking errors can converge to the neighborhood of zero in finite-time and satisfy the prescribed performances. Finally, simulation results are presented to show the effectiveness of the proposed controller.
基于扩展状态观测器的水下机器人系统滑模控制
提出了一种基于扩展状态观测器(ESO)的水下机器人系统滑模控制设计方法。首先,通过将未知的不确定性和扰动集中到一个总扰动中来重新表述系统模型。然后,提出了一种ESO方法来估计总扰动。在ESO的基础上,定义了限定跟踪误差上界的性能,并提出了滑模控制器,以保证所有信号最终均匀有界。此外,跟踪误差在有限时间内收敛到零的邻域,并满足规定的性能。最后给出了仿真结果,验证了所提控制器的有效性。
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