Research on Control Strategy of Cervical Rehabilitation Robot for Flexible Suspension

被引:0
|
作者
Wang, Guang-huan [1 ]
Li, Xiang [1 ]
Yang, Chi-fu [1 ]
机构
[1] Harbin Inst Technol, Dept Mechatron Engn, Harbin 150001, Heilongjiang, Peoples R China
关键词
Cervical traction rehabilitation robot; Compliance control; Force / position hybrid control; Fuzzy sliding mode control;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper is based on a self-designed intelligent cervical traction rehabilitation robot. In order to control the flexibility of the rope, as well as the precision of the rope traction force and the angle of the flexion and extension movement of the cervical spine, a force/position hybrid control method is adopted in this paper. In order to solve the dynamic precision of the traction force and improve the stability and robustness of the system, the force/position control force controller and the position controller are selected by the fuzzy sliding mode control. The combination of fuzzy control and sliding mode control improves the accuracy and attenuate chattering. Experimental verification shows that the accuracy requirement and tractive force compliance control can be achieved.
引用
收藏
页码:203 / 208
页数:6
相关论文
共 50 条
  • [31] Control Strategy for Upper Limb Rehabilitation Robot Based on Muscle Strength Estimation
    Liu, Qingyun
    Zhang, Mengxuan
    Liu, Tao
    Wang, Chengchen
    2020 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTER ENGINEERING (ICAICE 2020), 2020, : 54 - 60
  • [32] FORCE/POSITION CONTROL STRATEGY OF 3-PRS ANKLE REHABILITATION ROBOT
    Chen, Guoqiang
    Zhou, Hongpeng
    Yang, Pengcheng
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2020, 16 (02): : 481 - 494
  • [33] Performance-based Adaptive Control Strategy for Robot-assisted Rehabilitation
    Miao Q.
    Sun C.
    Zhang M.
    Chu K.
    Jiqiren/Robot, 2021, 43 (05): : 539 - 546and556
  • [34] Hierarchical safety supervisory control strategy for robot-assisted rehabilitation exercise
    Pan, Lizheng
    Song, Aiguo
    Xu, Guozheng
    Li, Huijun
    Xu, Baoguo
    Xiong, Pengwen
    ROBOTICA, 2013, 31 : 757 - 766
  • [35] ASSIST AS NEEDED CONTROL STRATEGY FOR UPPER LIMB REHABILITATION ROBOT IN EATING ACTIVITY
    Azlan, Norsinnira Zainul
    Lukman, Nurul Syuhadah
    IIUM ENGINEERING JOURNAL, 2021, 22 (01): : 298 - 323
  • [36] Damping Control Based Speed Adjustment Strategy for a Lower Limb Rehabilitation Robot
    Liang, Xu
    Hou, Zeng-Guang
    Ren, Shixin
    Shi, Weiguo
    Wang, Weiqun
    Wang, Jiaxing
    Su, Tingting
    2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019), 2019, : 1140 - 1145
  • [37] Multi-mode adaptive control strategy for a lower limb rehabilitation robot
    Liang, Xu
    Yan, Yuchen
    Dai, Shenghua
    Guo, Zhao
    Li, Zheng
    Liu, Shengda
    Su, Tingting
    FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2024, 12
  • [38] Adaptive Control Strategy for Gait Rehabilitation Robot to Assist-When-Needed
    Chen, Gong
    Ye, Jing
    Liu, Quanquan
    Duan, Lihong
    Li, Weiguang
    Wu, Zhengzhi
    Wang, Chunbao
    PROCEEDINGS OF 2018 IEEE INTERNATIONAL CONFERENCE ON REAL-TIME COMPUTING AND ROBOTICS (IEEE RCAR), 2018, : 538 - 543
  • [39] An Adaptive RBF Neural Network Control Strategy for Lower Limb Rehabilitation Robot
    Zhang, Feng
    Li, Pengfeng
    Hou, Zengguang
    Xie, Xiaoliang
    Chen, Yixiong
    Li, Qingling
    Tan, Min
    INTELLIGENT ROBOTICS AND APPLICATIONS, PT II, 2010, 6425 : 417 - 427
  • [40] Research on control system of an exoskeleton upper-limb rehabilitation robot
    Wang L.
    Hu X.
    Hu J.
    Fang Y.
    He R.
    Yu H.
    Yu, Hongliu (yhl98@hotmail.com), 1600, West China Hospital, Sichuan Institute of Biomedical Engineering (33): : 1168 - 1175