Model-Based Optimization for the Design of Exoskeletons that Help Humans to Sustain Large Pushes While Walking

In order to be useful in daily life, lower limb exoskeletons have to be able to provide support not only for nominal situations, such as level ground walking, but also for the recovery from extreme situations. In this paper, we investigate which torques a lower leg exoskeleton would have to produce...

Full description

Saved in:
Bibliographic Details
Published inConverging Clinical and Engineering Research on Neurorehabilitation II Vol. 15; pp. 821 - 825
Main Authors Schemschat, R. Malin, Clever, Debora, Millard, Matthew, Mombaur, Katja
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2017
Springer International Publishing
SeriesBiosystems & Biorobotics
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:In order to be useful in daily life, lower limb exoskeletons have to be able to provide support not only for nominal situations, such as level ground walking, but also for the recovery from extreme situations. In this paper, we investigate which torques a lower leg exoskeleton would have to produce in order to allow a person to recover from large perturbations or pushes that may occur while walking. We propose a model-based optimization approach that takes into account dynamic models of the human and the exoskeleton as well as experimental data of humans being pushed. Using optimal control and a least squares objective function we compute the joint torques that exoskeletons of different masses and mass distributions would have to produce in order to make the person follow the recorded recovery trajectories of healthy subjects and which loads would occur in the structure. The results of these computations can serve as guidelines for the design of future lower limb exoskeletons.
ISBN:9783319466682
3319466682
ISSN:2195-3562
2195-3570
DOI:10.1007/978-3-319-46669-9_134