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Parametric dynamic analysis of walking within a cable-based gait trainer

Published online by Cambridge University Press:  15 August 2018

Houssein Lamine*
Affiliation:
Mechanical Laboratory of Sousse (LMS), National Engineering School of Sousse, University of Sousse, Sousse 4000, Tunisia E-mail: lotfi.romdhane@gmail.com, sami.bennour@gmail.com
Lotfi Romdhane
Affiliation:
Mechanical Laboratory of Sousse (LMS), National Engineering School of Sousse, University of Sousse, Sousse 4000, Tunisia E-mail: lotfi.romdhane@gmail.com, sami.bennour@gmail.com Mechanical Engineering Department, American University of Sharjah, PO Box 26666, Sharjah, United Arab Emirates
Sami Bennour
Affiliation:
Mechanical Laboratory of Sousse (LMS), National Engineering School of Sousse, University of Sousse, Sousse 4000, Tunisia E-mail: lotfi.romdhane@gmail.com, sami.bennour@gmail.com
*
*Corresponding author. E-mail: houssein.lamine@gmail.com

Summary

In this paper, a parametric analysis of the inverse dynamics of an upright partially unloaded walking is performed. This motion is produced through a gait-training machine emulating the over-ground walking using a body weight support mechanism and a cable-driven robot. The input motion is the kinematics of a normal gait, and the ultimate output result is the required tensions to be generated by the cable robot in order to drive the lower limb. The dynamic analysis is carried out based on the Newton–Euler approach. A Matlab Simscape model is also built to validate the analytical results. The obtained dynamic model is used to investigate the effect of the variation of the gait simulation parameters on the actuation wrench and the cable tensions. The obtained results could be used to determine the optimal design of the gait trainer actuators and they are useful in estimating optimal gait training parameters.

Type
Articles
Copyright
© Cambridge University Press 2018 

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