• DocumentCode
    1791867
  • Title

    A patient-specific biological command based controller for the Human-inspired robotic exoskeleton (HuREx): A case study for gait-swing assistance robot

  • Author

    Ye Ma ; Xie, Sheng Q. ; Yanxin Zhang

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Auckland, Auckland, New Zealand
  • fYear
    2014
  • fDate
    3-6 Aug. 2014
  • Firstpage
    286
  • Lastpage
    291
  • Abstract
    A biological command based controller designed for the Human-inspired robotic exoskeleton (HuREx) was developed and introduced in this paper. This controller is built upon human´s musculoskeletal system which could provide subject-specific parameters for the controller as well as the robot design. There are two layers in the biological command based controller: the outer position controller and the inner force controller which aim to track desired position and force respectively. Desired forces aiming to control the actuators were calculated firstly by the real-time muscle force estimation (RMFE) algorithm using kinematic inputs. Then a model based PID controller was used as the inner force controller to control the pneumatic air muscle actuators directly. The controller was tested by a gait-swing assistance robot. A gait cycle of knee joint was used as desired trajectory for position tracking. The simulation results show that the proposed biological command based controller could track both desired knee angles and desired forces.
  • Keywords
    force control; gait analysis; medical robotics; mobile robots; patient rehabilitation; pneumatic actuators; position control; three-term control; HuREx; RMFE algorithm; force tracking; gait-swing assistance robot; human musculoskeletal system; human-inspired robotic exoskeleton; inner force controller; kinematic inputs; knee joint gait cycle; model based PID controller; outer position controller; patient-specific biological command based controller; pneumatic air muscle actuator; position tracking; real-time muscle force estimation algorithm; robotic physical rehabilitation; subject-specific parameters; Biological system modeling; Force; Mathematical model; Muscles; Robots; gait rehabilitation; patient-specific biological command based control; real-time muscle force estimation; robotics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4799-3978-7
  • Type

    conf

  • DOI
    10.1109/ICMA.2014.6885710
  • Filename
    6885710