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

  • The University of Auckland

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014
PublisherIEEE Computer Society
Pages286-291
Number of pages6
ISBN (Print)9781479939787
DOIs
StatePublished - 2014
Externally publishedYes
Event11th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014 - Tianjin, China
Duration: 3 Aug 20146 Aug 2014

Publication series

Name2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014

Conference

Conference11th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014
Country/TerritoryChina
CityTianjin
Period3/08/146/08/14

Keywords

  • Gait rehabilitation
  • Patient-specific biological command based control
  • Real-time muscle force estimation
  • Robotics

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