Comparison of Different Fuzzy Controllers for Powered Prosthetic Gait

This paper compares the fuzzy controllers trained with three different data-based methodologies for the control of the active knee joint of a powered transfemoral prosthesis. For each methodology a different inference system structure and number of generated rules was produced. The control is optimi...

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Published inElectronics, Robotics and Automotive Mechanics Conference (CERMA 2007) pp. 651 - 656
Main Authors Caltenco-Arciniega, H.A., Dosen, S., Melendez-Calderon, A., Chong-Quero, J.E.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2007
Subjects
Automotive engineering
DC motors
Foot
Fuzzy control
Humans
Knee
Legged locomotion
Prosthetics
Robots
Timing
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Summary:This paper compares the fuzzy controllers trained with three different data-based methodologies for the control of the active knee joint of a powered transfemoral prosthesis. For each methodology a different inference system structure and number of generated rules was produced. The control is optimized using adaptive neuro-fuzzy optimization techniques and it is aimed to work at different speeds within normal gait.
ISBN:9780769529745
0769529747
DOI:10.1109/CERMA.2007.4367761