Modelling and angle control of fiber braided bending actuator for finger rehabilitation

Stroke is a prominent cause of disability on a global scale, often resulting in hand impairment that significantly hinders a person's ability to carry out daily activities. Soft actuators present a promising technology for addressing hand impairment in stroke patients, offering a more versatile...

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主要作者: Muhammad Nasir Annadurai, Mohd Nizar
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語言:English
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出版: 2023
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spelling my-uthm-ep.109792024-05-20T01:26:43Z Modelling and angle control of fiber braided bending actuator for finger rehabilitation 2023-09 Muhammad Nasir Annadurai, Mohd Nizar TJ Mechanical engineering and machinery Stroke is a prominent cause of disability on a global scale, often resulting in hand impairment that significantly hinders a person's ability to carry out daily activities. Soft actuators present a promising technology for addressing hand impairment in stroke patients, offering a more versatile and adaptable approach to actuation. Despite the benefits of soft actuators, their nonlinearity presents a challenge when it comes to modeling, controlling, and achieving swift response times. Due to the nonlinearity of the system, open-loop systems are not suitable for soft actuator applications. Open-loop controlled pneumatic actuator muscles often struggle with high precision control. The drawbacks can be addressed by implementing a closed-loop control system. The objective of a closed-loop control approach is to perform a dynamic task while enhancing precision, robustness, and actuator conformance to the environment. In this study, one approach to implementing closed-loop control is through system identification (SI), using a transfer function that simulates the actual actuator. The auto-regressive model structure was selected for this study. Pseudo-random binary sequences were employed as the input signal for the SI process. The implementation of a proportional-integral-derivative (PID) controller enabled the control of the angle of the Fiber Braided Bending Actuator (FBBA). Additionally, two tuning techniques were proposed for the PID controller, namely the auto-tuning method and the genetic algorithm method. Both controllers' real-time experiments and simulations are analyzed. The results indicate that, compared to PID tuned using the auto-tuning method, PID tuned using GA demonstrates a significant improvement in both simulation and real-time experiments 2023-09 Thesis http://eprints.uthm.edu.my/10979/ http://eprints.uthm.edu.my/10979/1/24p%20MOHD%20NIZAR%20MUHAMMAD%20NASIR%20ANNADURAI.pdf text en public http://eprints.uthm.edu.my/10979/2/MOHD%20NIZAR%20MUHAMMAD%20NASIR%20ANNADURAI%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/10979/3/MOHD%20NIZAR%20MUHAMMAD%20NASIR%20ANNADURAI%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Teknologi Kejuruteraan
institution Universiti Tun Hussein Onn Malaysia
collection UTHM Institutional Repository
language English
English
English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Muhammad Nasir Annadurai, Mohd Nizar
Modelling and angle control of fiber braided bending actuator for finger rehabilitation
description Stroke is a prominent cause of disability on a global scale, often resulting in hand impairment that significantly hinders a person's ability to carry out daily activities. Soft actuators present a promising technology for addressing hand impairment in stroke patients, offering a more versatile and adaptable approach to actuation. Despite the benefits of soft actuators, their nonlinearity presents a challenge when it comes to modeling, controlling, and achieving swift response times. Due to the nonlinearity of the system, open-loop systems are not suitable for soft actuator applications. Open-loop controlled pneumatic actuator muscles often struggle with high precision control. The drawbacks can be addressed by implementing a closed-loop control system. The objective of a closed-loop control approach is to perform a dynamic task while enhancing precision, robustness, and actuator conformance to the environment. In this study, one approach to implementing closed-loop control is through system identification (SI), using a transfer function that simulates the actual actuator. The auto-regressive model structure was selected for this study. Pseudo-random binary sequences were employed as the input signal for the SI process. The implementation of a proportional-integral-derivative (PID) controller enabled the control of the angle of the Fiber Braided Bending Actuator (FBBA). Additionally, two tuning techniques were proposed for the PID controller, namely the auto-tuning method and the genetic algorithm method. Both controllers' real-time experiments and simulations are analyzed. The results indicate that, compared to PID tuned using the auto-tuning method, PID tuned using GA demonstrates a significant improvement in both simulation and real-time experiments
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Muhammad Nasir Annadurai, Mohd Nizar
author_facet Muhammad Nasir Annadurai, Mohd Nizar
author_sort Muhammad Nasir Annadurai, Mohd Nizar
title Modelling and angle control of fiber braided bending actuator for finger rehabilitation
title_short Modelling and angle control of fiber braided bending actuator for finger rehabilitation
title_full Modelling and angle control of fiber braided bending actuator for finger rehabilitation
title_fullStr Modelling and angle control of fiber braided bending actuator for finger rehabilitation
title_full_unstemmed Modelling and angle control of fiber braided bending actuator for finger rehabilitation
title_sort modelling and angle control of fiber braided bending actuator for finger rehabilitation
granting_institution Universiti Tun Hussein Onn Malaysia
granting_department Fakulti Teknologi Kejuruteraan
publishDate 2023
url http://eprints.uthm.edu.my/10979/1/24p%20MOHD%20NIZAR%20MUHAMMAD%20NASIR%20ANNADURAI.pdf
http://eprints.uthm.edu.my/10979/2/MOHD%20NIZAR%20MUHAMMAD%20NASIR%20ANNADURAI%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/10979/3/MOHD%20NIZAR%20MUHAMMAD%20NASIR%20ANNADURAI%20WATERMARK.pdf
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