DocumentCode :
42865
Title :
Fully Automatic Control of Paraplegic FES Pedaling Using Higher-Order Sliding Mode and Fuzzy Logic Control
Author :
Farhoud, Aidin ; Erfanian, A.
Author_Institution :
Dept. of Biomed. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
Volume :
22
Issue :
3
fYear :
2014
fDate :
May-14
Firstpage :
533
Lastpage :
542
Abstract :
In this paper, a fully automatic robust control strategy is proposed for control of paraplegic pedaling using functional electrical stimulation (FES). The method is based on higher-order sliding mode (HOSM) control and fuzzy logic control. In FES, the strength of muscle contraction can be altered either by varying the pulse width (PW) or by the pulse amplitude (PA) of the stimulation signal. The proposed control strategy regulates simultaneously both PA and PW (i.e., PA/PW modulation). A HOSM controller is designed for regulating the PW and a fuzzy logic controller for the PA. The proposed control scheme is free-model and does not require any offline training phase and subject-specific information. Simulation studies on a virtual patient and experiments on three paraplegic subjects demonstrate good tracking performance and robustness of the proposed control strategy against muscle fatigue and external disturbances during FES-induced pedaling. The results of simulation studies show that the power and cadence tracking errors are 5.4% and 4.8%, respectively. The experimental results indicate that the proposed controller can improve pedaling system efficacy and increase the endurance of FES pedaling. The average of power tracking error over three paraplegic subjects is 7.4±1.4% using PA/PW modulation, while the tracking error is 10.2±1.2% when PW modulation is used. The subjects could pedal for 15 min with about 4.1% power loss at the end of experiment using proposed control strategy, while the power loss is 14.3% using PW modulation. The controller could adjust the stimulation intensity to compensate the muscle fatigue during long period of FES pedaling.
Keywords :
biomechanics; fuzzy control; medical control systems; medical disorders; neuromuscular stimulation; power consumption; pulse amplitude modulation; pulse width modulation; tracking; variable structure systems; FES pedaling endurance; FES-induced pedaling; HOSM controller design; PA regulation; PA/PW modulation; PW regulation; cadence tracking errors; external disturbances; free-model control scheme; fully automatic robust control; functional electrical stimulation; fuzzy logic controller; higher-order sliding mode control; muscle contraction strength alteration; muscle fatigue compensation; offline training phase; paraplegic FES pedaling control; pedaling system efficacy improvement; power loss; power tracking errors; pulse amplitude variation; pulse width variation; simulation studies; stimulation intensity adjustment; stimulation signal variation; subject-specific information; time 15 min; tracking performance; virtual patient; Fatigue; Fuzzy logic; Hip; Joints; Modulation; Muscles; Torque; Higher-order sliding mode (HOSM) control; functional electrical stimulation (FES); fuzzy logic system; paraplegia; pedaling;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2013.2296334
Filename :
6697881
Link To Document :
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