Modelling and control of paraplegic’s knee joint (fes-swinging)

The use of electrical signals to restore the function of paralyzed muscles is called functional electrical stimulation (FES). FES is a promising method to restore mobility to individuals paralyzed due to spinal cord injury (SCI). This thesis is concerned with the development of an accurate parapl...

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Main Author:	KSM Kader Ibrahim, Babul Salam
Format:	Thesis
Language:	English
Published:	2011
Subjects:	TK Electrical engineering Electronics Nuclear engineering TK7800-8360 Electronics
Online Access:	http://eprints.uthm.edu.my/2988/1/24p%20BABUL%20SALAM%20KADER%20IBRAHIM.pdf
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spelling	my-uthm-ep.29882021-11-02T01:21:59Z Modelling and control of paraplegic’s knee joint (fes-swinging) 2011-01 KSM Kader Ibrahim, Babul Salam TK Electrical engineering. Electronics Nuclear engineering TK7800-8360 Electronics The use of electrical signals to restore the function of paralyzed muscles is called functional electrical stimulation (FES). FES is a promising method to restore mobility to individuals paralyzed due to spinal cord injury (SCI). This thesis is concerned with the development of an accurate paraplegic knee joint model and control of electrically stimulated muscle. The modelling of musculoskeletal of paraplegic’s lower limb is significantly challenging due to the complexity of the system. The first aim of this study is to develop a knee joint model capable of relating electrical parameters to dynamic joint torque as well as knee angle for FES application. The knee joint is divided into 3 parts; active muscle properties, passive knee joint properties and lower limb dynamics Hence the model structure comprising optimised equations of motion and fuzzy models to represent the passive viscoelasticity and active muscle properties is formulated. The model thus formulated is optimised using genetic optimization, and validated against experimental data. The results show that the model developed gives an accurate dynamic characterisation of the knee joint. The second aim of this study is to develop FES-induced swinging motion control. A crucial issue of FES is the control of motor function by artificial activation of paralyzed muscles. Major problems that limit the success of current FES control systems are nonlinearity of the musculoskeletal system and rapid change of muscle properties due to fatigue. Fuzzy logic control (FLC) with its ability to handle a complex nonlinear system without mathematical model is used. Two FLC strategies; trajectory based control and cycleto-cycle control are developed. In the trajectory based control, the controller with less energy consumption is developed to reduce muscle fatigue. The ability of this controller to minimize the fatigue is proved in the experimental work. The discretetime cycle-to-cycle control strategy is developed without predefined trajectory. This strategy is applicable for controlling FES-induced movement with the ability to reach full knee extension angle and to maintain a steady swinging of the lower limb as desired in the presence of muscle fatigue and spasticity. The performances of the controllers are assessed through simulation study and validated through experimental work. 2011-01 Thesis http://eprints.uthm.edu.my/2988/ http://eprints.uthm.edu.my/2988/1/24p%20BABUL%20SALAM%20KADER%20IBRAHIM.pdf text en public phd doctoral University of Sheffield Department of Automatic Control and Systems Engineering
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering TK7800-8360 Electronics
spellingShingle	TK Electrical engineering Electronics Nuclear engineering TK7800-8360 Electronics KSM Kader Ibrahim, Babul Salam Modelling and control of paraplegic’s knee joint (fes-swinging)
description	The use of electrical signals to restore the function of paralyzed muscles is called functional electrical stimulation (FES). FES is a promising method to restore mobility to individuals paralyzed due to spinal cord injury (SCI). This thesis is concerned with the development of an accurate paraplegic knee joint model and control of electrically stimulated muscle. The modelling of musculoskeletal of paraplegic’s lower limb is significantly challenging due to the complexity of the system. The first aim of this study is to develop a knee joint model capable of relating electrical parameters to dynamic joint torque as well as knee angle for FES application. The knee joint is divided into 3 parts; active muscle properties, passive knee joint properties and lower limb dynamics Hence the model structure comprising optimised equations of motion and fuzzy models to represent the passive viscoelasticity and active muscle properties is formulated. The model thus formulated is optimised using genetic optimization, and validated against experimental data. The results show that the model developed gives an accurate dynamic characterisation of the knee joint. The second aim of this study is to develop FES-induced swinging motion control. A crucial issue of FES is the control of motor function by artificial activation of paralyzed muscles. Major problems that limit the success of current FES control systems are nonlinearity of the musculoskeletal system and rapid change of muscle properties due to fatigue. Fuzzy logic control (FLC) with its ability to handle a complex nonlinear system without mathematical model is used. Two FLC strategies; trajectory based control and cycleto-cycle control are developed. In the trajectory based control, the controller with less energy consumption is developed to reduce muscle fatigue. The ability of this controller to minimize the fatigue is proved in the experimental work. The discretetime cycle-to-cycle control strategy is developed without predefined trajectory. This strategy is applicable for controlling FES-induced movement with the ability to reach full knee extension angle and to maintain a steady swinging of the lower limb as desired in the presence of muscle fatigue and spasticity. The performances of the controllers are assessed through simulation study and validated through experimental work.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	KSM Kader Ibrahim, Babul Salam
author_facet	KSM Kader Ibrahim, Babul Salam
author_sort	KSM Kader Ibrahim, Babul Salam
title	Modelling and control of paraplegic’s knee joint (fes-swinging)
title_short	Modelling and control of paraplegic’s knee joint (fes-swinging)
title_full	Modelling and control of paraplegic’s knee joint (fes-swinging)
title_fullStr	Modelling and control of paraplegic’s knee joint (fes-swinging)
title_full_unstemmed	Modelling and control of paraplegic’s knee joint (fes-swinging)
title_sort	modelling and control of paraplegic’s knee joint (fes-swinging)
granting_institution	University of Sheffield
granting_department	Department of Automatic Control and Systems Engineering
publishDate	2011
url	http://eprints.uthm.edu.my/2988/1/24p%20BABUL%20SALAM%20KADER%20IBRAHIM.pdf
_version_	1747831006650433536

Modelling and control of paraplegic’s knee joint (fes-swinging)

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