Research on Lower Limb Rehabilitation Exoskeleton Control based on Improved Dynamic Motion Primitives

被引:0
|
作者
Yue, Xian [1 ]
Zhu, Aibin [1 ]
Ma, Peifeng [1 ]
An, Delin [1 ]
Dang, Diyang [2 ]
Zhang, Yulin [2 ]
机构
[1] Xi An Jiao Tong Univ, Inst Robot & Intelligent Syst, Shaanxi Key Lab Intelligent Robots, Xian 710049, Peoples R China
[2] Educ Minist Modern Design & Rotor Bearing Syst, Key Lab, Xian 710049, Peoples R China
基金
中国国家自然科学基金;
关键词
WALKING;
D O I
10.1109/ICARM54641.2022.9959156
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Aiming at the shortcomings of Lower Limb Rehabilitation Exoskeleton control method in providing active rehabilitation training assistance and adaptability to different patients, this paper designs a lower limb rehabilitation exoskeleton robot by studying the structure and motion characteristics of human lower limb joints. Based on the dynamic model of the lower limb rehabilitation exoskeleton, the driving torque of lower limb joint is solved by Lagrange method. Coupled with the man-machine coupling model, the structure optimization of lower limb rehabilitation exoskeleton is realized. A lower limb rehabilitation exoskeleton control algorithm based on improved dynamic primitives is proposed to improve the flexibility of movement in the process of rehabilitation training. A prototype experiment platform based on Vicon 3D motion capture system was built, and the subjects' wear comparison experiment was carried out to verify the effectiveness of the control algorithm, which can meet the needs of completing high-quality rehabilitation training.
引用
收藏
页码:443 / 448
页数:6
相关论文
共 50 条
  • [1] Autonomous motion and control of lower limb exoskeleton rehabilitation robot
    Gao, Xueshan
    Zhang, Pengfei
    Peng, Xuefeng
    Zhao, Jianbo
    Liu, Kaiyuan
    Miao, Mingda
    Zhao, Peng
    Luo, Dingji
    Li, Yige
    FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2023, 11
  • [2] A Lower Limb Exoskeleton Adaptive Control Method Based on Model-free Reinforcement Learning and Improved Dynamic Movement Primitives
    Huang, Liping
    Zheng, Jianbin
    Gao, Yifan
    Song, Qiuzhi
    Liu, Yali
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2025, 111 (01)
  • [3] Design and motion control of exoskeleton robot for paralyzed lower limb rehabilitation
    Zhu, Zhiyong
    Liu, Lingyan
    Zhang, Wenbin
    Jiang, Cong
    Wang, Xingsong
    Li, Jie
    FRONTIERS IN NEUROSCIENCE, 2024, 18
  • [4] Neural Network Control of Lower Limb Rehabilitation Exoskeleton with Repetitive Motion
    Huang, Deqing
    Ma, Lei
    Yang, Yong
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 3403 - 3408
  • [5] Dynamic Movement Primitives based Parametric Gait Model for Lower Limb Exoskeleton
    Ma, Wenhao
    Huang, Rui
    Chen, Qiming
    Song, Guangkui
    Li, Cong
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 3857 - 3862
  • [6] Interaction learning control with movement primitives for lower limb exoskeleton
    Wang, Jiaqi
    Wu, Dongmei
    Gao, Yongzhuo
    Dong, Wei
    FRONTIERS IN NEUROROBOTICS, 2022, 16
  • [7] PID Control of a Lower Limb Rehabilitation Exoskeleton
    Touati, Nahla
    Saidi, Imen
    Mbarek, Houssem Ben Hadj
    PRZEGLAD ELEKTROTECHNICZNY, 2024, 100 (06): : 290 - 293
  • [8] A Teleoperation Framework for Upper Limb Rehabilitation Based on Improved Dynamic Movement Primitives and Hybrid Control
    Shi, Zhixuan
    Luo, Jing
    2024 8TH INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION SCIENCES, ICRAS 2024, 2024, : 114 - 121
  • [9] Lower Limb Exoskeleton for Rehabilitation with Improved Postural Equilibrium
    Menga, Giuseppe
    Ghirardi, Marco
    ROBOTICS, 2018, 7 (02):
  • [10] Research on adaptive trajectory following of lower limb rehabilitation exoskeleton based on sliding mode control
    Zhang, Hao
    Liu, Mei
    Zh, Xingchen
    Li, Jinming
    Zhong, Peisi
    INTERNATIONAL CONFERENCE ON INTELLIGENT EQUIPMENT AND SPECIAL ROBOTS (ICIESR 2021), 2021, 12127