Performance improvement of manipulator actuated by pneumatic artificial muscles based on synergetic control and social spider optimisation algorithm

The manipulator actuated by pneumatic artificial muscles (PAM) is a widely used type of robotic arm in industrial automation. However, its performance can be limited by non-linear dynamics and uncertainties in the system. To overcome these limitations, this paper proposes a synergetic control strat...

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Main Authors: Alaq F. Hasan, Hadeer A. Raheem, Rajaa Hussein
Format: Article
Language:English
Published: CTU Central Library 2025-01-01
Series:Acta Polytechnica
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Online Access:https://ojs.cvut.cz/ojs/index.php/ap/article/view/9724
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author Alaq F. Hasan
Hadeer A. Raheem
Rajaa Hussein
author_facet Alaq F. Hasan
Hadeer A. Raheem
Rajaa Hussein
author_sort Alaq F. Hasan
collection DOAJ
description The manipulator actuated by pneumatic artificial muscles (PAM) is a widely used type of robotic arm in industrial automation. However, its performance can be limited by non-linear dynamics and uncertainties in the system. To overcome these limitations, this paper proposes a synergetic control strategy (SACT) to improve the performance of the SACT, a social spider optimisation algorithm (SSO) has been suggested for adjusting its parameters. To verify the performance of a PAM-actuated manipulator based on an optimal SACT controller, a computer simulation study was conducted using MATLAB software. Moreover, a comparison study between the optimal synergetic algorithm control theory and the optimal sliding mode controller (SMC) has been made in terms of robustness and transient behaviour characteristics. The provided simulation results have shown that the SACT controller exhibited quicker convergence towards the desired trajectory and maintained a lower steadystate error as compared to the SMC controller. Additionally, the SACT controller demonstrated more resilience to variations in parameters and showed more robust characteristics.
format Article
id doaj-art-0cb5292ebbdb4b8ba84d9dd7b49c7a78
institution Kabale University
issn 1805-2363
language English
publishDate 2025-01-01
publisher CTU Central Library
record_format Article
series Acta Polytechnica
spelling doaj-art-0cb5292ebbdb4b8ba84d9dd7b49c7a782025-01-14T10:10:10ZengCTU Central LibraryActa Polytechnica1805-23632025-01-0164610.14311/AP.2024.64.0519Performance improvement of manipulator actuated by pneumatic artificial muscles based on synergetic control and social spider optimisation algorithmAlaq F. Hasan0Hadeer A. Raheem1Rajaa Hussein2Middle Technical University, Technical Engineering Collage Baghdad, Mechatronics Engineering, 8998+QHJ, Baghdad, IraqMiddle Technical University, Technical Engineering Collage Baghdad, Mechatronics Engineering, 8998+QHJ, Baghdad, IraqMiddle Technical University, Technical Engineering Collage Baghdad, Mechatronics Engineering, 8998+QHJ, Baghdad, Iraq The manipulator actuated by pneumatic artificial muscles (PAM) is a widely used type of robotic arm in industrial automation. However, its performance can be limited by non-linear dynamics and uncertainties in the system. To overcome these limitations, this paper proposes a synergetic control strategy (SACT) to improve the performance of the SACT, a social spider optimisation algorithm (SSO) has been suggested for adjusting its parameters. To verify the performance of a PAM-actuated manipulator based on an optimal SACT controller, a computer simulation study was conducted using MATLAB software. Moreover, a comparison study between the optimal synergetic algorithm control theory and the optimal sliding mode controller (SMC) has been made in terms of robustness and transient behaviour characteristics. The provided simulation results have shown that the SACT controller exhibited quicker convergence towards the desired trajectory and maintained a lower steadystate error as compared to the SMC controller. Additionally, the SACT controller demonstrated more resilience to variations in parameters and showed more robust characteristics. https://ojs.cvut.cz/ojs/index.php/ap/article/view/9724PAM-actuated Manipulatorsynergetic algorithm control theorysliding mode controllersocial spider optimization algorithm
spellingShingle Alaq F. Hasan
Hadeer A. Raheem
Rajaa Hussein
Performance improvement of manipulator actuated by pneumatic artificial muscles based on synergetic control and social spider optimisation algorithm
Acta Polytechnica
PAM-actuated Manipulator
synergetic algorithm control theory
sliding mode controller
social spider optimization algorithm
title Performance improvement of manipulator actuated by pneumatic artificial muscles based on synergetic control and social spider optimisation algorithm
title_full Performance improvement of manipulator actuated by pneumatic artificial muscles based on synergetic control and social spider optimisation algorithm
title_fullStr Performance improvement of manipulator actuated by pneumatic artificial muscles based on synergetic control and social spider optimisation algorithm
title_full_unstemmed Performance improvement of manipulator actuated by pneumatic artificial muscles based on synergetic control and social spider optimisation algorithm
title_short Performance improvement of manipulator actuated by pneumatic artificial muscles based on synergetic control and social spider optimisation algorithm
title_sort performance improvement of manipulator actuated by pneumatic artificial muscles based on synergetic control and social spider optimisation algorithm
topic PAM-actuated Manipulator
synergetic algorithm control theory
sliding mode controller
social spider optimization algorithm
url https://ojs.cvut.cz/ojs/index.php/ap/article/view/9724
work_keys_str_mv AT alaqfhasan performanceimprovementofmanipulatoractuatedbypneumaticartificialmusclesbasedonsynergeticcontrolandsocialspideroptimisationalgorithm
AT hadeeraraheem performanceimprovementofmanipulatoractuatedbypneumaticartificialmusclesbasedonsynergeticcontrolandsocialspideroptimisationalgorithm
AT rajaahussein performanceimprovementofmanipulatoractuatedbypneumaticartificialmusclesbasedonsynergeticcontrolandsocialspideroptimisationalgorithm