Robust Finite-Time Command-Filtered Backstepping Control for Flexible-Joint Robots With Only Position Measurements

被引:17
作者
Zhang, Yang [1 ,2 ]
Zhang, Menghua [3 ]
Du, Fuxin [1 ,2 ]
机构
[1] Shandong Univ, Sch Mech Engn, Key Lab High Efficiency & Clean Mech Manufacture, Minist Educ, Jinan 250061, Peoples R China
[2] Shandong Univ, Engn Res Ctr Intelligent Unmanned Syst, Minist Educ, Jinan 250061, Peoples R China
[3] Univ Jinan, Sch Elect Engn, Jinan 250022, Peoples R China
来源
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2024年 / 54卷 / 02期
基金
中国国家自然科学基金;
关键词
Backstepping; disturbance observer; finite-time control; flexible-joint robot (FJR); matched/mismatched disturbance; MANIPULATOR; TRACKING; DESIGN;
D O I
10.1109/TSMC.2023.3324761
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article presents a robust finite-time command-filtered backstepping control strategy for flexible-joint robotic systems with only position measurements. To the best of our knowledge, this method is proposed for the first time and applied to the flexible-joint robot (FJR) system subject to matched/mismatched disturbances. Herein, two finite-time disturbance observers (FTDOs) are adopted to reconstruct unmeasurable system states and total matched and mismatched disturbances. By combining a finite-time command-filtered backstepping controller with two FTDOs, a novel robust command-filtered backstepping controller is presented. Meanwhile, the practically finite-time stability analysis of the closed-loop system is rigorously presented by the Lyapunov function. Finally, numerical simulations and experimental studies are carried out for the FJR, whose results show the superiority of the proposed scheme in comparison with the existing approaches, such as the FTCFBC, the ADRC, and the CSMC.
引用
收藏
页码:1263 / 1275
页数:13
相关论文
共 50 条
[41]   Time-Varying BLFs-Based Adaptive Neural Network Finite-Time Command-Filtered Control for Nonlinear Systems [J].
Yu, Huihui ;
Yu, Jinpeng ;
Wang, Qing-Guo ;
Lin, Chong .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 53 (08) :4696-4704
[42]   Finite-time observer-based backstepping control of a flexible launch vehicle [J].
Duraffourg, Elodie ;
Burlion, Laurent ;
Ahmed-Ali, Tarek .
JOURNAL OF VIBRATION AND CONTROL, 2018, 24 (08) :1535-1550
[43]   Adaptive Neural Consensus Tracking for Nonlinear Multiagent Systems Using Finite-Time Command Filtered Backstepping [J].
Zhao, Lin ;
Yu, Jinpeng ;
Lin, Chong ;
Ma, Yumei .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2018, 48 (11) :2003-2012
[44]   Robust tracking control for a class of electrically driven flexible-joint robots without velocity measurements [J].
Chang, Yeong-Chan ;
Yen, Hui-Min .
INTERNATIONAL JOURNAL OF CONTROL, 2012, 85 (02) :194-212
[45]   Adaptive command-filtered finite-time control of non-strict feedback stochastic non-linear systems [J].
Seifi, Parisa ;
Hosseini Sani, Seyed Kamal .
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2022, 44 (15) :2877-2887
[46]   Adaptive Fuzzy Finite-Time Command Filtered Impedance Control for Robotic Manipulators [J].
Lin, Gaorong ;
Yu, Jinpeng ;
Liu, Jiapeng .
IEEE ACCESS, 2021, 9 :50917-50925
[47]   Adaptive neural output feedback finite-time command filtered backstepping control for nonlinear systems with full-state constraints [J].
Zhang, Qi ;
Zhao, Lin .
ASIAN JOURNAL OF CONTROL, 2023, 25 (02) :1033-1046
[48]   Fast fixed-time extended state observer based command filtering backstepping control of free-flying flexible-joint space robots [J].
Hong, Mengqing ;
Gu, Xiutao ;
Xia, Lingling ;
Guo, Yu .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2024, 361 (17)
[49]   Command-filtered backstepping robust adaptive emotional control of strict-feedback nonlinear systems with mismatched uncertainties [J].
Parsa, P. ;
Akbarzadeh-T, M-R ;
Baghbani, F. .
INFORMATION SCIENCES, 2021, 579 :434-453
[50]   Finite-Time Command Filtered Adaptive Control for Robot Manipulators in Random Vibration Environment [J].
Song, Xinyu ;
Zhao, Lin ;
Cui, Guozeng .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2023, 70 (11) :4143-4147