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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...

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Detalles Bibliográficos
Autores principales: Huang, Zhicheng, Huang, Fan, Wang, Xingguo, Chu, Fulei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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AT chufulei activevibrationcontrolofcompositecantileverbeams