Develop Control Architectures to Enhance Soft Actuator Motion and Force

<b>Study:</b> Soft robots can achieve the desired range of motion for finger movement to match their axis of rotation with the axis of rotation of the human hand. The iterative design has been used to achieve data that makes the movement smooth and the range of movement wider, and the va...

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Main Authors: Mustafa Hassan, Mohammed Ibrahim Awad, Shady A. Maged
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Computation
Subjects:
Online Access:https://www.mdpi.com/2079-3197/10/10/178
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author Mustafa Hassan
Mohammed Ibrahim Awad
Shady A. Maged
author_facet Mustafa Hassan
Mohammed Ibrahim Awad
Shady A. Maged
author_sort Mustafa Hassan
collection DOAJ
description <b>Study:</b> Soft robots can achieve the desired range of motion for finger movement to match their axis of rotation with the axis of rotation of the human hand. The iterative design has been used to achieve data that makes the movement smooth and the range of movement wider, and the validity of the design has been confirmed through practical experiments. <b>Limitation:</b> The challenges facing this research are to reach the most significant inclined angle and increase the force generated by the actuator, which is the most complicated matter while maintaining the desired control accuracy. The motion capture system verifies the actual movement of the soft pneumatic actuator (SPA). A tracking system has been developed for SPA in action by having sensors to know the position and strength of the SPA. <b>Results</b>: The novelty of this research is that it gave better control of soft robots by selecting the proportional, integral, and derivative (PID) controller. The parameters were tuned using three different methods: ZN (Ziegler Nichols Method), GA (Genetic Algorism), and PSO (Particle Swarm Optimization). The optimization techniques were used in Methods 2 and 3 in order to reach the nominal error rate (0.6) and minimum overshoot (0.1%) in the shortest time (2.5 s). <b>Impact:</b> The effect of the proposed system in this study is to provide precise control of the actuator, which helps in medical and industrial applications, the most important of which are the transfer of things from one place to another and the process of medical rehabilitation for patients with muscular dystrophy. A doctor who treats finger muscle insufficiency can monitor a patient’s ability to reach a greater angle of flexion or increase strength by developing three treatment modalities to boost strength: Full Assisted Movement (FAM), Half Assisted Movement (HAM), and Resistance Movement (RM).
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spelling doaj.art-84e858da80f2499ab6cb0e9b95f30caa2023-11-23T23:35:43ZengMDPI AGComputation2079-31972022-10-01101017810.3390/computation10100178Develop Control Architectures to Enhance Soft Actuator Motion and ForceMustafa Hassan0Mohammed Ibrahim Awad1Shady A. Maged2Industrial Automation Department, Information Technology Institute, Faiyum 12577, EgyptMechatronics Department, Faculty of engineering, Ain Shams University, Cairo 11511, EgyptMechatronics Department, Faculty of engineering, Ain Shams University, Cairo 11511, Egypt<b>Study:</b> Soft robots can achieve the desired range of motion for finger movement to match their axis of rotation with the axis of rotation of the human hand. The iterative design has been used to achieve data that makes the movement smooth and the range of movement wider, and the validity of the design has been confirmed through practical experiments. <b>Limitation:</b> The challenges facing this research are to reach the most significant inclined angle and increase the force generated by the actuator, which is the most complicated matter while maintaining the desired control accuracy. The motion capture system verifies the actual movement of the soft pneumatic actuator (SPA). A tracking system has been developed for SPA in action by having sensors to know the position and strength of the SPA. <b>Results</b>: The novelty of this research is that it gave better control of soft robots by selecting the proportional, integral, and derivative (PID) controller. The parameters were tuned using three different methods: ZN (Ziegler Nichols Method), GA (Genetic Algorism), and PSO (Particle Swarm Optimization). The optimization techniques were used in Methods 2 and 3 in order to reach the nominal error rate (0.6) and minimum overshoot (0.1%) in the shortest time (2.5 s). <b>Impact:</b> The effect of the proposed system in this study is to provide precise control of the actuator, which helps in medical and industrial applications, the most important of which are the transfer of things from one place to another and the process of medical rehabilitation for patients with muscular dystrophy. A doctor who treats finger muscle insufficiency can monitor a patient’s ability to reach a greater angle of flexion or increase strength by developing three treatment modalities to boost strength: Full Assisted Movement (FAM), Half Assisted Movement (HAM), and Resistance Movement (RM).https://www.mdpi.com/2079-3197/10/10/178soft manipulatorsFEMcontrol strategyPID tuningSPA
spellingShingle Mustafa Hassan
Mohammed Ibrahim Awad
Shady A. Maged
Develop Control Architectures to Enhance Soft Actuator Motion and Force
Computation
soft manipulators
FEM
control strategy
PID tuning
SPA
title Develop Control Architectures to Enhance Soft Actuator Motion and Force
title_full Develop Control Architectures to Enhance Soft Actuator Motion and Force
title_fullStr Develop Control Architectures to Enhance Soft Actuator Motion and Force
title_full_unstemmed Develop Control Architectures to Enhance Soft Actuator Motion and Force
title_short Develop Control Architectures to Enhance Soft Actuator Motion and Force
title_sort develop control architectures to enhance soft actuator motion and force
topic soft manipulators
FEM
control strategy
PID tuning
SPA
url https://www.mdpi.com/2079-3197/10/10/178
work_keys_str_mv AT mustafahassan developcontrolarchitecturestoenhancesoftactuatormotionandforce
AT mohammedibrahimawad developcontrolarchitecturestoenhancesoftactuatormotionandforce
AT shadyamaged developcontrolarchitecturestoenhancesoftactuatormotionandforce