• DocumentCode
    2954924
  • Title

    Model based control of a rehabilitation robot for lower extremities

  • Author

    Xie, Xiao-Liang ; Hou, Zeng-Guang ; Li, Peng-Feng ; Ji, Cheng ; Zhang, Feng ; Tan, Min ; Wang, Hongbo ; Hu, Guoqing

  • Author_Institution
    Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    2263
  • Lastpage
    2266
  • Abstract
    This paper mainly focuses on the trajectory tracking control of a lower extremity rehabilitation robot during passive training process of patients. Firstly, a mathematical model of the rehabilitation robot is introduced by using Lagrangian analysis. Then, a model based computed-torque control scheme is designed to control the constrained four-link robot (with patient´s foot fixed on robot´s end-effector) to track a predefined trajectory. Simulation results are provided to illustrate the effectiveness of the proposed model based computed-torque algorithm. In the simulation, a multi-body dynamics and motion software named ADAMS is used. The combined simulation of ADAMS and MATLAB is able to produce more realistic results of this complex integrated system.
  • Keywords
    medical control systems; medical robotics; orthopaedics; patient rehabilitation; physiological models; torque control; ADAMS; Lagrangian analysis; MATLAB; extremity rehabilitation; model based computed-torque control; multibody dynamics; rehabilitation robot; trajectory tracking control; DC motors; Humans; Joints; Leg; Mathematical model; Robots; Trajectory; Algorithms; Biomechanics; Computer Simulation; Equipment Design; Humans; Leg Injuries; Lower Extremity; Models, Statistical; Models, Theoretical; Programming Languages; Robotics; Software; Time Factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5628008
  • Filename
    5628008