DocumentCode :
2936705
Title :
Force control system for pneumatic actuators of an active gait orthosis
Author :
Calanca, A. ; Piazza, S. ; Fiorini, P.
Author_Institution :
Comput. Sci. Dept., Univ. of Verona, Verona, Italy
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
64
Lastpage :
69
Abstract :
People affected by Cerebral Palsy suffer from physical disabilities that prevent the control over movement, making the walking difficult or even impossible. Treatment for these patients are orthosis to support their legs. While passive orthosis are nowadays quite common, active assistive orthosis are not preferred due to design limitations in the usage and their high cost. ARGO, the Active Reciprocated Gait Orthosis we developed, is a device that overcomes some of the limitations of the state of the art. It is realized from a passive commercial reciprocated gait orthosis, applying sensors and pneumatic artificial muscles to it. With ARGO we aim at reducing patient´s fatigue during orthosis usage, and at the same time, collect informations for a clinical validation of the treatment. To move limbs in a non coercive way, following user´s intention to move, ARGO deploys an innovative force-based control. It exploits both a neural network and a PID to obtain a fast and oscillations-free responses. In this article we introduce ARGO and present details and results of our high-performance control system.
Keywords :
brain; force control; gait analysis; medical control systems; medical disorders; muscle; neural nets; orthotics; pneumatic actuators; three-term control; ARGO; PID; active reciprocated gait orthosis; cerebral palsy; fatigue; force control system; legs; neural network; physical disabilities; pneumatic actuators; pneumatic artificial muscles; walking; Artificial neural networks; Dynamics; Force; Mathematical model; Muscles; Trajectory; Active orthosis; Force Control; Neural Network; Pneumatic Artificial Muscle; Walking assisting device;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Robotics and Biomechatronics (BioRob), 2010 3rd IEEE RAS and EMBS International Conference on
Conference_Location :
Tokyo
ISSN :
2155-1774
Print_ISBN :
978-1-4244-7708-1
Type :
conf
DOI :
10.1109/BIOROB.2010.5627044
Filename :
5627044
Link To Document :
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