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A novel anti-swing and position control method for overhead crane
Based on Takagi–Sugeno fuzzy modeling and linear matrix inequality with decay rate, this article presents a novel anti-swing and position control scheme for overhead cranes. First, the simplified nonlinear dynamic model is proposed by adopting a virtual control variable method to reduce the number o...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364952/ https://www.ncbi.nlm.nih.gov/pubmed/31829898 http://dx.doi.org/10.1177/0036850419883539 |
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author | Shao, Xuejuan Zhang, Jinggang Zhang, Xueliang Zhao, Zhicheng Chen, Zhimei |
author_facet | Shao, Xuejuan Zhang, Jinggang Zhang, Xueliang Zhao, Zhicheng Chen, Zhimei |
author_sort | Shao, Xuejuan |
collection | PubMed |
description | Based on Takagi–Sugeno fuzzy modeling and linear matrix inequality with decay rate, this article presents a novel anti-swing and position control scheme for overhead cranes. First, the simplified nonlinear dynamic model is proposed by adopting a virtual control variable method to reduce the number of nonlinear terms. Then, the Takagi–Sugeno fuzzy model is constructed using sector nonlinear technique, and the anti-swing and position controller of overhead crane is designed based on a linear matrix inequality with decay rate. Finally, the proposed control method is compared with the traditional Takagi–Sugeno fuzzy control method, and robustness of the system is discussed. The simulation results demonstrate that the proposed method is feasible and effective. |
format | Online Article Text |
id | pubmed-10364952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-103649522023-08-09 A novel anti-swing and position control method for overhead crane Shao, Xuejuan Zhang, Jinggang Zhang, Xueliang Zhao, Zhicheng Chen, Zhimei Sci Prog Article Based on Takagi–Sugeno fuzzy modeling and linear matrix inequality with decay rate, this article presents a novel anti-swing and position control scheme for overhead cranes. First, the simplified nonlinear dynamic model is proposed by adopting a virtual control variable method to reduce the number of nonlinear terms. Then, the Takagi–Sugeno fuzzy model is constructed using sector nonlinear technique, and the anti-swing and position controller of overhead crane is designed based on a linear matrix inequality with decay rate. Finally, the proposed control method is compared with the traditional Takagi–Sugeno fuzzy control method, and robustness of the system is discussed. The simulation results demonstrate that the proposed method is feasible and effective. SAGE Publications 2019-11-01 /pmc/articles/PMC10364952/ /pubmed/31829898 http://dx.doi.org/10.1177/0036850419883539 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Article Shao, Xuejuan Zhang, Jinggang Zhang, Xueliang Zhao, Zhicheng Chen, Zhimei A novel anti-swing and position control method for overhead crane |
title | A novel anti-swing and position control method for overhead crane |
title_full | A novel anti-swing and position control method for overhead crane |
title_fullStr | A novel anti-swing and position control method for overhead crane |
title_full_unstemmed | A novel anti-swing and position control method for overhead crane |
title_short | A novel anti-swing and position control method for overhead crane |
title_sort | novel anti-swing and position control method for overhead crane |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364952/ https://www.ncbi.nlm.nih.gov/pubmed/31829898 http://dx.doi.org/10.1177/0036850419883539 |
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