• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于高增益观测器的匹配干扰下单连杆柔性关节机器人的鲁棒输出反馈控制。

Robust Output Feedback Control of Single-Link Flexible-Joint Robot Manipulator with Matched Disturbances Using High Gain Observer.

机构信息

Department of Electrical Engineering, CEME, National University of Sciences and Technology, Islamabad 44000, Pakistan.

出版信息

Sensors (Basel). 2021 May 8;21(9):3252. doi: 10.3390/s21093252.

DOI:10.3390/s21093252
PMID:34066796
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8125959/
Abstract

This article focuses on the output feedback control of single-link flexible-joint robot manipulators (SFJRMs) with matched disturbances and parametric uncertainties. Formally, four sensing elements are required to design the controller for single-link manipulators. We have designed a robust control technique for the semiglobal stabilization problem of the angular position of the link in the SFJRM system, with the availability of only a position sensing device. The sliding mode control (SMC) based output feedback controller is devised for SFJRM dynamics. The nonlinear model of SFJRM is considered to estimate the unknown states utilizing the high-gain observer (HGO). It is shown that the output under SMC using HGO-based estimated states coincides with that using original states when the gains of HGO are sufficiently high. Finally, the results are presented showing that the designed control technique works well when the SFJRM model is uncertain and matched perturbations are expected.

摘要

本文专注于具有匹配干扰和参数不确定性的单连杆柔性关节机器人机械手(SFJRMs)的输出反馈控制。形式上,需要四个传感元件来为单连杆机械手设计控制器。我们已经设计了一种用于 SFJRM 系统中连杆角位置的半全局镇定问题的鲁棒控制技术,只需一个位置传感装置即可实现。基于滑模控制(SMC)的输出反馈控制器被设计用于 SFJRM 动力学。考虑到 SFJRM 的非线性模型,利用高增益观测器(HGO)来估计未知状态。结果表明,当 HGO 的增益足够高时,基于 HGO 估计状态的 SMC 的输出与基于原始状态的输出一致。最后,结果表明,当 SFJRM 模型不确定且预期存在匹配扰动时,所设计的控制技术效果良好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/f1a8a5aad0c5/sensors-21-03252-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/58c8cff3690b/sensors-21-03252-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/55b63d9a3f3b/sensors-21-03252-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/a48bf0953f7e/sensors-21-03252-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/467957f5fbb5/sensors-21-03252-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/4a9b20103ae9/sensors-21-03252-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/c44645d00ee8/sensors-21-03252-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/8c2ed64116ea/sensors-21-03252-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/10af5f08a117/sensors-21-03252-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/03f58b6c3828/sensors-21-03252-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/f362ab2e091b/sensors-21-03252-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/26d5e62022b3/sensors-21-03252-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/d30b502865cb/sensors-21-03252-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/5b927d084e82/sensors-21-03252-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/1f1bd03c7852/sensors-21-03252-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/c7b12b3fd605/sensors-21-03252-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/f1a8a5aad0c5/sensors-21-03252-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/58c8cff3690b/sensors-21-03252-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/55b63d9a3f3b/sensors-21-03252-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/a48bf0953f7e/sensors-21-03252-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/467957f5fbb5/sensors-21-03252-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/4a9b20103ae9/sensors-21-03252-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/c44645d00ee8/sensors-21-03252-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/8c2ed64116ea/sensors-21-03252-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/10af5f08a117/sensors-21-03252-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/03f58b6c3828/sensors-21-03252-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/f362ab2e091b/sensors-21-03252-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/26d5e62022b3/sensors-21-03252-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/d30b502865cb/sensors-21-03252-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/5b927d084e82/sensors-21-03252-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/1f1bd03c7852/sensors-21-03252-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/c7b12b3fd605/sensors-21-03252-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/8125959/f1a8a5aad0c5/sensors-21-03252-g016.jpg

相似文献

1
Robust Output Feedback Control of Single-Link Flexible-Joint Robot Manipulator with Matched Disturbances Using High Gain Observer.基于高增益观测器的匹配干扰下单连杆柔性关节机器人的鲁棒输出反馈控制。
Sensors (Basel). 2021 May 8;21(9):3252. doi: 10.3390/s21093252.
2
Robust Output Feedback Stabilization and Tracking for an Uncertain Nonholonomic Systems with Application to a Mobile Robot.不确定非完整系统的鲁棒输出反馈镇定与跟踪及其在移动机器人中的应用
Sensors (Basel). 2024 Jun 3;24(11):3616. doi: 10.3390/s24113616.
3
Event-Sampled Output Feedback Control of Robot Manipulators Using Neural Networks.基于神经网络的机器人操纵器事件采样输出反馈控制
IEEE Trans Neural Netw Learn Syst. 2019 Jun;30(6):1651-1658. doi: 10.1109/TNNLS.2018.2870661. Epub 2018 Oct 12.
4
Nonlinear Observer-Based Visual Servoing and Vibration Control of Flexible Robotic Manipulators With a Fixed Camera.基于非线性观测器的固定摄像机柔性机器人机械臂视觉伺服与振动控制
IEEE Trans Cybern. 2024 Jul;54(7):4100-4110. doi: 10.1109/TCYB.2023.3305357. Epub 2024 Jul 11.
5
Adaptive output feedback control of flexible-joint robots using neural networks: dynamic surface design approach.基于神经网络的柔性关节机器人自适应输出反馈控制:动态表面设计方法
IEEE Trans Neural Netw. 2008 Oct;19(10):1712-26. doi: 10.1109/TNN.2008.2001266.
6
A Robust Observer-Based Control Strategy for n-DOF Uncertain Robot Manipulators with Fixed-Time Stability.基于鲁棒观测器的 n 自由度不确定机器人机械手的固定时间稳定性控制策略。
Sensors (Basel). 2021 Oct 26;21(21):7084. doi: 10.3390/s21217084.
7
Dynamic neural network-based robust observers for uncertain nonlinear systems.基于动态神经网络的不确定非线性系统鲁棒观测器
Neural Netw. 2014 Dec;60:44-52. doi: 10.1016/j.neunet.2014.07.009. Epub 2014 Aug 1.
8
Robust tracking control of flexible manipulators using hybrid backstepping/nonlinear reduced-order active disturbance rejection control.基于混合反步/非线性降阶自抗扰控制的柔性机械手鲁棒跟踪控制
ISA Trans. 2024 Jun;149:229-236. doi: 10.1016/j.isatra.2024.04.026. Epub 2024 May 2.
9
Hierarchical multiloop MPC scheme for robot manipulators with nonlinear disturbance observer.基于非线性干扰观测器的机器人机械手分层多回路模型预测控制方案
Math Biosci Eng. 2022 Aug 29;19(12):12601-12616. doi: 10.3934/mbe.2022588.
10
Backstepping integral sliding mode control for pneumatic manipulators via adaptive extended state observers.基于自适应扩张状态观测器的气动机械臂反步积分滑模控制
ISA Trans. 2024 Jan;144:374-384. doi: 10.1016/j.isatra.2023.10.014. Epub 2023 Oct 16.

引用本文的文献

1
A Novel Active Fault-Tolerant Tracking Control for Robot Manipulators with Finite-Time Stability.一种具有有限时间稳定性的机器人机械手新型主动容错跟踪控制
Sensors (Basel). 2021 Dec 3;21(23):8101. doi: 10.3390/s21238101.
2
A Robust Observer-Based Control Strategy for n-DOF Uncertain Robot Manipulators with Fixed-Time Stability.基于鲁棒观测器的 n 自由度不确定机器人机械手的固定时间稳定性控制策略。
Sensors (Basel). 2021 Oct 26;21(21):7084. doi: 10.3390/s21217084.

本文引用的文献

1
Finite-Time Disturbance Observer for Robotic Manipulators.用于机器人操纵器的有限时间干扰观测器
Sensors (Basel). 2019 Apr 25;19(8):1943. doi: 10.3390/s19081943.
2
Stable force control and contact transition of a single link flexible robot using a fractional-order controller.基于分数阶控制器的单连杆柔性机器人稳定力控制与接触过渡
ISA Trans. 2019 Jun;89:139-157. doi: 10.1016/j.isatra.2018.12.031. Epub 2019 Feb 5.
3
Neural-Learning-Based Control for a Constrained Robotic Manipulator With Flexible Joints.基于神经学习的具有柔性关节的受限机器人操纵器控制
IEEE Trans Neural Netw Learn Syst. 2018 Dec;29(12):5993-6003. doi: 10.1109/TNNLS.2018.2803167. Epub 2018 Apr 10.
4
A Method on Dynamic Path Planning for Robotic Manipulator Autonomous Obstacle Avoidance Based on an Improved RRT Algorithm.一种基于改进RRT算法的机器人操作臂自主避障动态路径规划方法。
Sensors (Basel). 2018 Feb 13;18(2):571. doi: 10.3390/s18020571.
5
Finite-time state-dependent Riccati equation for time-varying nonaffine systems: rigid and flexible joint manipulator control.时变非仿射系统的有限时间状态相关黎卡提方程:刚性和柔性关节机械臂控制。
ISA Trans. 2015 Jan;54:125-44. doi: 10.1016/j.isatra.2014.06.006. Epub 2014 Jul 16.