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Active Vibration Control of Composite Cantilever Beams
This paper deals with the active vibration control of composite cantilever beam. Based on the finite element method and Golla–Hughes–McTavish (GHM) model, the system dynamics equation is established. Models are simplified in physical and modal space because of unobservable and uncontrollable. Based...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821055/ https://www.ncbi.nlm.nih.gov/pubmed/36614435 http://dx.doi.org/10.3390/ma16010095 |
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author | Huang, Zhicheng Huang, Fan Wang, Xingguo Chu, Fulei |
author_facet | Huang, Zhicheng Huang, Fan Wang, Xingguo Chu, Fulei |
author_sort | Huang, Zhicheng |
collection | PubMed |
description | This paper deals with the active vibration control of composite cantilever beam. Based on the finite element method and Golla–Hughes–McTavish (GHM) model, the system dynamics equation is established. Models are simplified in physical and modal space because of unobservable and uncontrollable. Based on the particle swarm optimization (PSO) algorithm, the linear quadratic regulator (LQR) feedback gain was optimized. The effect of system vibration damping under different controller parameters, piezoelectric-constrained layer position and excitation signal was studied. The study show that the optimal feedback gain of the controller can effectively balance the control effect and the control cost. The closer the piezoelectric layer and viscoelastic layer are to the fixed end, the better the system control effect and the smaller the control cost. The reduced-order model has a good control effect on different excitation signals. |
format | Online Article Text |
id | pubmed-9821055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98210552023-01-07 Active Vibration Control of Composite Cantilever Beams Huang, Zhicheng Huang, Fan Wang, Xingguo Chu, Fulei Materials (Basel) Article This paper deals with the active vibration control of composite cantilever beam. Based on the finite element method and Golla–Hughes–McTavish (GHM) model, the system dynamics equation is established. Models are simplified in physical and modal space because of unobservable and uncontrollable. Based on the particle swarm optimization (PSO) algorithm, the linear quadratic regulator (LQR) feedback gain was optimized. The effect of system vibration damping under different controller parameters, piezoelectric-constrained layer position and excitation signal was studied. The study show that the optimal feedback gain of the controller can effectively balance the control effect and the control cost. The closer the piezoelectric layer and viscoelastic layer are to the fixed end, the better the system control effect and the smaller the control cost. The reduced-order model has a good control effect on different excitation signals. MDPI 2022-12-22 /pmc/articles/PMC9821055/ /pubmed/36614435 http://dx.doi.org/10.3390/ma16010095 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Huang, Zhicheng Huang, Fan Wang, Xingguo Chu, Fulei Active Vibration Control of Composite Cantilever Beams |
title | Active Vibration Control of Composite Cantilever Beams |
title_full | Active Vibration Control of Composite Cantilever Beams |
title_fullStr | Active Vibration Control of Composite Cantilever Beams |
title_full_unstemmed | Active Vibration Control of Composite Cantilever Beams |
title_short | Active Vibration Control of Composite Cantilever Beams |
title_sort | active vibration control of composite cantilever beams |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821055/ https://www.ncbi.nlm.nih.gov/pubmed/36614435 http://dx.doi.org/10.3390/ma16010095 |
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