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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Bibliographic Details
Published inProceedings of the 10th World Congress on Intelligent Control and Automation pp. 3753 - 3757
Main Authors Wenjun Mi, Wu Zhizheng, Jinwu Qian
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2012
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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.
ISBN:9781467313971
1467313971
DOI:10.1109/WCICA.2012.6359098