Bilateral Adaptive Control of Nonlinear Teleoperation Systems With Uncertain Dynamics and Dead-Zone

被引:4
|
作者
Liu, Xia [1 ]
Tavakoli, Mahdi [2 ]
机构
[1] Xihua Univ, Sch Elect Engn & Elect Informat, Chengdu 610039, Sichuan, Peoples R China
[2] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2V4, Canada
基金
中国国家自然科学基金; 加拿大自然科学与工程研究理事会;
关键词
bilateral teleoperation systems; dead-zone; dynamic uncertainties; adaptive control; transparency; TIME DELAYS; SYNCHRONIZATION; STABILITY;
D O I
10.1115/1.4040666
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Dead-zone is one of the most common hard nonlinearities ubiquitous in master-slave teleoperation systems, particularly in the slave robot joints. However, adaptive control techniques applied in teleoperation systems usually deal with dynamic uncertainty but ignore the presence of dead-zone. Dead-zone has the potential to remarkably deteriorate the transparency of a teleoperation system in the sense of position and force tracking performance or even destabilizing the system if not compensated for in the control scheme. In this paper, an adaptive bilateral control scheme is proposed for nonlinear teleoperation systems in the presence of both uncertain dynamics and dead-zone. An adaptive controller is designed for the master robot with dynamic uncertainties and the other is developed for the slave robot with both dynamic uncertainties and unknown dead-zone. The two controllers are incorporated into the four-channel bilateral teleoperation control framework to achieve transparency. The transparency and stability of the closed-loop teleoperation system is studied via a Lyapunov function analysis. Comparisons with the conventional adaptive control which merely deal with dynamic uncertainties in the simulations demonstrate the validity of the proposed approach.
引用
下载
收藏
页数:10
相关论文
共 50 条
  • [31] Event-triggered robust adaptive control for uncertain nonlinear systems preceded by actuator dead-zone
    Xiaohang Su
    Zhi Liu
    Guanyu Lai
    Nonlinear Dynamics, 2018, 93 : 219 - 231
  • [32] Fuzzy Adaptive Prescribed Performance Control for a Class of Uncertain Nonlinear Systems with Unknown Dead-Zone Inputs
    Xiang, Wei
    Li, Ning
    Sun, Yeguo
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2017, 2017
  • [33] Event-triggered robust adaptive control for uncertain nonlinear systems preceded by actuator dead-zone
    Su, Xiaohang
    Liu, Zhi
    Lai, Guanyu
    NONLINEAR DYNAMICS, 2018, 93 (02) : 219 - 231
  • [34] Adaptive Fuzzy PID Control for a Class of Uncertain MIMO Nonlinear Systems with Dead-zone Inputs' Nonlinearities
    Cherrat, Nidhal
    Boubertakh, Hamid
    Arioui, Hichem
    IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING, 2018, 42 (01) : 21 - 39
  • [35] Direct adaptive compensation for actuator failures and dead-Zone constraints in tracking control of uncertain nonlinear systems
    Su, Xiaohang
    Liu, Zhi
    Lai, Guanyu
    Chen, C. L. Philip
    Chen, Ci
    INFORMATION SCIENCES, 2017, 417 : 328 - 343
  • [36] Adaptive Actuator Dead-Zone Compensation Control For Uncertain Noncanonical Fuzzy-Approximation Nonlinear Systems
    Lai, Guanyu
    Tao, Gang
    Zhan, Yun
    2019 AMERICAN CONTROL CONFERENCE (ACC), 2019, : 3664 - 3669
  • [37] Adaptive Control of Uncertain Gear Transmission Servo Systems with Dead-zone Nonlinearity
    Xie, Bin
    Wang, Wei
    Zuo, Zongyu
    2016 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV), 2016,
  • [38] Robust Adaptive Fuzzy Control of Uncertain Bilinear Systems with Unknown Dead-Zone
    Chiang, Chiang-Cheng
    Cheng, Chao-Yu
    2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2014, : 920 - 927
  • [39] Robust adaptive control of a class of nonlinear systems with unknown dead-zone
    Wang, XS
    Su, CY
    Hong, H
    PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 2001, : 1627 - 1632
  • [40] Nonlinear adaptive control for dynamic and dead-zone uncertainties in robotic systems
    Xia Liu
    Wei Jiang
    Xiu-Cheng Dong
    International Journal of Control, Automation and Systems, 2017, 15 : 875 - 882