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Reverse pneumatic artificial muscles (rPAMs): Modeling, integration, and control
Despite offering many advantages over traditional rigid actuators, soft pneumatic actuators suffer from a lack of comprehensive, computationally efficient models and precise embedded control schemes without bulky flow-control valves and extensive computer hardware. In this article, we consider an in...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6193585/ https://www.ncbi.nlm.nih.gov/pubmed/30312314 http://dx.doi.org/10.1371/journal.pone.0204637 |
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author | Skorina, Erik H. Luo, Ming Oo, Wut Yee Tao, Weijia Chen, Fuchen Youssefian, Sina Rahbar, Nima Onal, Cagdas D. |
author_facet | Skorina, Erik H. Luo, Ming Oo, Wut Yee Tao, Weijia Chen, Fuchen Youssefian, Sina Rahbar, Nima Onal, Cagdas D. |
author_sort | Skorina, Erik H. |
collection | PubMed |
description | Despite offering many advantages over traditional rigid actuators, soft pneumatic actuators suffer from a lack of comprehensive, computationally efficient models and precise embedded control schemes without bulky flow-control valves and extensive computer hardware. In this article, we consider an inexpensive and reliable soft linear actuator, called the reverse pneumatic artificial muscle (rPAM), which consists of silicone rubber that is radially constrained by symmetrical double-helix threading. We describe analytical and numerical static models of this actuator, and compare their performance against experimental results. To study the application of rPAMs to operate underlying kinematic linkage skeletons, we consider a single degree-of-freedom revolute joint that is driven antagonistically by two of these actuators. An analytical model is then derived, and its accuracy in predicting the static joint angle as a function of input pressures is presented. Using this analytical model, we perform dynamic characterization of this system. Finally, we propose a sliding-mode controller, and a sliding mode controller augmented by a feed-forward term to modulate miniature solenoid valves that control air flow to each actuator. Experiments show that both controllers function well, while the feed-forward term improves the performance of the controller following dynamic trajectories. |
format | Online Article Text |
id | pubmed-6193585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-61935852018-11-05 Reverse pneumatic artificial muscles (rPAMs): Modeling, integration, and control Skorina, Erik H. Luo, Ming Oo, Wut Yee Tao, Weijia Chen, Fuchen Youssefian, Sina Rahbar, Nima Onal, Cagdas D. PLoS One Research Article Despite offering many advantages over traditional rigid actuators, soft pneumatic actuators suffer from a lack of comprehensive, computationally efficient models and precise embedded control schemes without bulky flow-control valves and extensive computer hardware. In this article, we consider an inexpensive and reliable soft linear actuator, called the reverse pneumatic artificial muscle (rPAM), which consists of silicone rubber that is radially constrained by symmetrical double-helix threading. We describe analytical and numerical static models of this actuator, and compare their performance against experimental results. To study the application of rPAMs to operate underlying kinematic linkage skeletons, we consider a single degree-of-freedom revolute joint that is driven antagonistically by two of these actuators. An analytical model is then derived, and its accuracy in predicting the static joint angle as a function of input pressures is presented. Using this analytical model, we perform dynamic characterization of this system. Finally, we propose a sliding-mode controller, and a sliding mode controller augmented by a feed-forward term to modulate miniature solenoid valves that control air flow to each actuator. Experiments show that both controllers function well, while the feed-forward term improves the performance of the controller following dynamic trajectories. Public Library of Science 2018-10-12 /pmc/articles/PMC6193585/ /pubmed/30312314 http://dx.doi.org/10.1371/journal.pone.0204637 Text en © 2018 Skorina et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Skorina, Erik H. Luo, Ming Oo, Wut Yee Tao, Weijia Chen, Fuchen Youssefian, Sina Rahbar, Nima Onal, Cagdas D. Reverse pneumatic artificial muscles (rPAMs): Modeling, integration, and control |
title | Reverse pneumatic artificial muscles (rPAMs): Modeling, integration, and control |
title_full | Reverse pneumatic artificial muscles (rPAMs): Modeling, integration, and control |
title_fullStr | Reverse pneumatic artificial muscles (rPAMs): Modeling, integration, and control |
title_full_unstemmed | Reverse pneumatic artificial muscles (rPAMs): Modeling, integration, and control |
title_short | Reverse pneumatic artificial muscles (rPAMs): Modeling, integration, and control |
title_sort | reverse pneumatic artificial muscles (rpams): modeling, integration, and control |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6193585/ https://www.ncbi.nlm.nih.gov/pubmed/30312314 http://dx.doi.org/10.1371/journal.pone.0204637 |
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