Research on Impendence Control of an Upper Limb Exoskeleton Robot and Joint Experiments

被引:0
|
作者
Li H. [1 ]
Liu C. [2 ]
Yan L. [1 ]
Zhang B. [1 ]
Li D. [1 ]
Zhang Q. [3 ]
机构
[1] School of Automation, Beijing University of Posts and Telecommunications, Beijing
[2] School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing
[3] School of Electromechanical Engineering, Beijing Information Science and Technology University, Beijing
关键词
Human-robot interaction; Impendence control; Robot; Teleoperation; Upper limb exoskeleton;
D O I
10.3901/JME.2020.19.200
中图分类号
学科分类号
摘要
The exoskeleton robot is worn by the human operator, which can be designed as an assistance, augmentation or interaction device for rehabilitation or teleoperation field. Human-robot interaction control is important for an upper limb exoskeleton robot. An impendence control model for an upper limb exoskeleton robot is proposed and the dynamics model of an integrated joint and the impendence control approach is designed in detail. A position-based impedance control method and a force-based impedance control method are presented to deal with the following task in exoskeleton robot interaction. Parameter improvement method of impedance control is discussed based on characteristics of a secondary system. The numerical simulation model of a single joint's impedance control is established, and the influence of inertia, damping, stiffness and human-robot stiffness parameter on impedance control performance is respectively analyzed by simulation experiments. The physical experiments of a single joint's impedance control are set up. The experimental results show that the collision safety function, gravity compensation, and impedance control are available and the human-robot cooperative movement is verified. © 2020 Journal of Mechanical Engineering.
引用
收藏
页码:200 / 209
页数:9
相关论文
共 21 条
  • [1] PONS J L., Wearable robots: Biomechatronic exoskeletons, (2008)
  • [2] ZHAO Xingang, TAN Xiaowei, ZHANG Bi, Development of soft lower extremity exoskeleton and its key technologies: A survey, Robot, 42, 3, pp. 365-384, (2020)
  • [3] BOGUE R., Robotic exoskeletons: A review of recent progress, Industrial Robot: An International Journal, 42, 1, pp. 5-10, (2015)
  • [4] LOOZE DE M P, BOSCH T, KRAUSE F, Et al., Exoskeletons for industrial application and their potential effects on physical work load, Ergonomics, 59, 5, pp. 671-681, (2015)
  • [5] GIJBELS D, LAMERS I, KERKHOFS L, Et al., The Armeo Spring as training tool to improve upper limb functionality in multiple sclerosis: A pilot study, Journal of Neuroengineering and Rehabilitation, 8, 1, (2011)
  • [6] KIM B, DESHPANDE A D., An upper-body rehabilitation exoskeleton harmony with an anatomical shoulder mechanism: Design, modeling, control, and performance evaluation, The International Journal of Robotics Research, 36, 4, pp. 414-435, (2017)
  • [7] TALATY M, ESQUENAZI A, BRICENO J E., Differentiating ability in users of the ReWalk(TM) powered exoskeleton: an analysis of walking kinematics, Proceedings of IEEE 13th International Conference on Rehabilitation Robotics (ICORR), (2013)
  • [8] TUCKER M R, OLIVIER J, PAGEL A, Et al., Control strategies for active lower extremity prosthetics and orthotics: A review, Journal of Neuroengineering and Rehabilitation, 12, 1, (2015)
  • [9] LI Jian, CHEN Diansheng, TAO Chunjing, Et al., Synthesis and experiment of a lower limb exoskeleton rehabilitation robot, Industrial Robot-An International Journal, 44, 3, pp. 264-274, (2017)
  • [10] CHEN Weihai, LI Zhongyi, CUI Xiang, Et al., Mechanical design and kinematic modeling of a cable-driven arm exoskeleton incorporating inaccurate human limb anthropomorphic parameters, Sensors, 19, 20, (2019)