DocumentCode
116176
Title
Cadence control of stationary cycling induced by switched functional electrical stimulation control
Author
Bellman, M.J. ; Cheng, T.-H. ; Downey, R.J. ; Dixon, W.E.
Author_Institution
Dept. of Mech. & Aerosp. Eng., Univ. of Florida, Gainesville, FL, USA
fYear
2014
fDate
15-17 Dec. 2014
Firstpage
6260
Lastpage
6265
Abstract
Cycling induced by functional electrical stimulation (FES) is an effective means for exercise and rehabilitation of individuals suffering from neurological disorders such as stroke, spinal cord injury, and cerebral palsy. To achieve FES-cycling, potential fields are alternately applied across muscle groups in the lower extremities. Alternating stimulation of various muscle groups according to the crank position makes the FES-cycling system a switched system with autonomous state-dependent switching. This paper examines FES-cycling from a switched systems analysis perspective. Specifically, a switched sliding mode controller is developed to yield approximate tracking of a desired cadence despite an uncertain, nonlinear cycle-rider model. Cadence tracking is proven via a common Lyapunov-like function and experimental results are provided to demonstrate the performance of the switched controller.
Keywords
Lyapunov methods; approximation theory; handicapped aids; medical disorders; medical robotics; mobile robots; neuromuscular stimulation; patient rehabilitation; position control; switching systems (control); uncertain systems; variable structure systems; FES-cycling system; Lyapunov-like function; approximate cadence tracking; autonomous state-dependent switching; cerebral palsy; individuals exercise; individuals rehabilitation; neurological disorders; nonlinear cycle-rider model; spinal cord injury; stationary cycling cadence control; stroke; switched functional electrical stimulation control; switched sliding mode controller; switched systems analysis; uncertain model; Joints; Knee; Muscles; Switched systems; Switches; Torque;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
978-1-4799-7746-8
Type
conf
DOI
10.1109/CDC.2014.7040370
Filename
7040370
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