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Erschienen in: Intelligent Service Robotics 4/2019

04.09.2019 | Original Research Paper

An admittance controller based on assistive torque estimation for a rehabilitation leg exoskeleton

verfasst von: Yali Han, Songqing Zhu, Yiming Zhou, Haitao Gao

Erschienen in: Intelligent Service Robotics | Ausgabe 4/2019

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Abstract

A rehabilitation exoskeleton leg was constructed for gait training, and a method for exoskeleton leg swing control based on admittance model was studied. The man–machine interaction torque, the inertia compensator torque, and the exoskeleton’s assistive torque act as the inputs to the admittance control system for realizing the effective assistance to the wearer. The exoskeleton’s assistive torque is generated by estimating net torque exerted by the muscle based on adaptive frequency oscillator. A variable swing frequency experiment for simulating physical rehabilitation exercise was implemented. The results show that the inertia compensator adjusting the compensation varies with the swing frequency. The control system provides effective assistance to the wearer. The coordinated control experiment of hip and knee joints was also implemented. The results show that the interaction forces are all controlled in a reasonable and small range, and there is a good coordination between the hip joint and knee joint during swing motion.

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Metadaten
Titel
An admittance controller based on assistive torque estimation for a rehabilitation leg exoskeleton
verfasst von
Yali Han
Songqing Zhu
Yiming Zhou
Haitao Gao
Publikationsdatum
04.09.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Intelligent Service Robotics / Ausgabe 4/2019
Print ISSN: 1861-2776
Elektronische ISSN: 1861-2784
DOI
https://doi.org/10.1007/s11370-019-00289-4

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