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Design Study of a Cable-based Gait Training Machine

  • Houssein Lamine
  • , Med Amine Laribi
  • , Sami Bennour
  • , Lotfi Romdhane
  • , Said Zeghloul
  • University of Sousse
  • Université de Poitiers

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

This paper deals with a design approach of a gait training machine based on a quantitative gait analysis. The proposed training machine is composed of a body weight support device and a cable-driven parallel robot. This paper is focused on the cable-driven robot, which controls the pose of the lower limb through an orthosis placed on the patient's leg. The cable robot reproduces a normal gait movement through the motion of the orthosis. A motion capture system is used to perform the quantitative analysis of a normal gait, which will be used as an input to the inverse dynamic model of the cable robot. By means of an optimization algorithm, the optimal design parameters, which minimize the tensions in the cables, are determined. Two constraints are considered, i.e., a non-negative tension in the cables at all times, and a free cable/end-effector collision. Once the optimal solution is computed, a power analysis is carried out in order to size the robot actuators. The proposed approach can be easily extended for the design study of a similar type of cable robots.

Original languageEnglish
Pages (from-to)232-244
Number of pages13
JournalJournal of Bionic Engineering
Volume14
Issue number2
DOIs
StatePublished - 1 Apr 2017

Keywords

  • body weight support system
  • cable-driven robots
  • design optimization
  • gait rehabilitation

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