DocumentCode :
1730957
Title :
Adaptive control method for a walking support machine considering center-of-gravity shifts and load changes
Author :
Wang, Y.N. ; Wang, S.Y. ; Tan, R.P. ; Jiang, Y.L. ; Ishida, K. ; Fujie, M.G.
Author_Institution :
Sch. of Syst. Eng., Kochi Univ. of Technol., Tosayamada, Japan
fYear :
2012
Firstpage :
684
Lastpage :
689
Abstract :
In previous studies, an omni-directional walking support machine has been developed for people suffering from walking impairment. During walking support, the machine can identify the user´s directional intention according to the user´s forearm pressures and support the user to where they want to go. However, the motion performance of the machine is affected by the center-of-gravity (COG) shifts and load changes caused by users, which may cause the danger of colliding obstacles. To address these issues, this paper proposes an adaptive controller for the walking support machine. This control method does not need the exact values of the plant parameters and can adapt to parameter uncertainties by measuring and adjusting the parameters automatically. Therefore, it is very robust to plant parameter changes caused by the COG shifts and load changes. Simulations are executed and the results demonstrate the feasibility and effectiveness of the proposed adaptive control method.
Keywords :
adaptive control; collision avoidance; gait analysis; handicapped aids; medical disorders; motion control; COG shifts; adaptive control method; center-of-gravity shifts; load changes; motion performance; obstacles collision; omnidirectional walking support machine; parameter uncertainties; plant parameters; user directional intention; user forearm pressures; walking impairment; walking support machine; Adaptation models; Adaptive control; Educational institutions; Equations; Legged locomotion; Load modeling; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Mechatronic Systems (ICAMechS), 2012 International Conference on
Conference_Location :
Tokyo
ISSN :
1756-8412
Print_ISBN :
978-1-4673-1962-1
Type :
conf
Filename :
6329664
Link To Document :
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