A decentralized adaptive controller design for Lower Extremity Rehabilitation Robot
Rehabilitation is the major therapy in stroke and spinal cord injured individuals. Robot-aided treadmill training has been applied for several years to assist, enhance and evaluate neurological and orthopedic rehabilitation. This paper presents a compliant patient cooperative control approach for Lo...
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Published in | Proceedings of the 10th World Congress on Intelligent Control and Automation pp. 3753 - 3757 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.07.2012
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Subjects | |
Online Access | Get full text |
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Summary: | Rehabilitation is the major therapy in stroke and spinal cord injured individuals. Robot-aided treadmill training has been applied for several years to assist, enhance and evaluate neurological and orthopedic rehabilitation. This paper presents a compliant patient cooperative control approach for Lower Extremity Rehabilitation Robot (LERR) with automatic gait adaption. Firstly, based on nonlinear inverbility decoupling theory the system is decoupled into some independent second-order integral systems. Then based on the decoupled sub-systems, the admittance and adaptive control methods are further investigated for the gait trajectory planning and tracking. Finally, the performance of the proposed controller is verified in the MATLAB-Adams co-simulation environment. |
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ISBN: | 9781467313971 1467313971 |
DOI: | 10.1109/WCICA.2012.6359098 |