DocumentCode :
1700341
Title :
Upper limb exoskeleton control based on sliding mode control and feedback linearization
Author :
Miranda, A.B.W. ; Forner-Cordero, A.
Author_Institution :
Dept. of Mechatron. & Mech. Syst. Escola Politec., Univ. of Sao Paulo, Sao Paulo, Brazil
fYear :
2013
Firstpage :
1
Lastpage :
6
Abstract :
Exoskeletons have potential to improve human quality of life by relieving loads on the human musculoskeletal system or by helping motor rehabilitation. Controllers that were initially developed for industrial applications are also applied to control an exoskeleton, despite of major differences in requirements. Nevertheless, which controller has better performance for this specific application remains an open question. This paper presents a comparison between sliding mode control and feedback linearization control. The implementation of the sliding mode controller assumes a complete measurement of the biological system´s dynamics. On the other hand, the feedback linearization method does not need any information from the biological system. Our results indicate that a model combining biological control and dynamics could improve several characteristics of robotic exoskeleton, such as energy consumption.
Keywords :
biomechanics; bone; energy consumption; feedback; medical robotics; muscle; patient care; physiological models; robot dynamics; variable structure systems; biological system´s dynamics complete measurement; feedback linearization control; feedback linearization method; human mechanical load relief aid; human musculoskeletal system; human quality of life; industrial control applications; motor rehabilitation; robotic energy consumption; robotic exoskeleton; sliding mode control; upper limb exoskeleton control; Biological system modeling; Elbow; Equations; Exoskeletons; Force; Mathematical model; Robotic exoskeleton; feedback linearization control; force augmentation; human elbow; rehabilitation; sliding mode control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biosignals and Biorobotics Conference (BRC), 2013 ISSNIP
Conference_Location :
Rio de Janerio
ISSN :
2326-7771
Print_ISBN :
978-1-4673-3024-4
Type :
conf
DOI :
10.1109/BRC.2013.6487460
Filename :
6487460
Link To Document :
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