LQR Optimal Control Applied in an Energy Harvesting System with Non-ideal Excitation Operating with Uncertain Parameters

Detalhes bibliográficos
Autor(a) principal: de Almeida, Estevão Fuzaro [UNESP]
Data de Publicação: 2022
Outros Autores: Chavarette, Fábio Roberto [UNESP]
Tipo de documento: Capítulo de livro
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/978-3-030-96603-4_20
http://hdl.handle.net/11449/241764
Resumo: The majority of active control applications in vibrational dynamic systems are utilized to minimize vibrations. The goal of this research, on the other hand, is to employ vibrations to generate electrical energy in such a way that the vibration becomes a desired phenomenon. The change of the physical characteristics of the system was conducted in this work with the goal of enhancing the modeling of complex energy harvesting systems with non-ideal excitation, bringing higher resilience, and bringing them closer to reality. To stabilize the orbits and compare the power generated by the systems with and without control, the optimal control technique via Linear Quadratic Regulator (LQR) is used.
id UNSP_088db4b1a32fc41e4183a2084dc33520
oai_identifier_str oai:repositorio.unesp.br:11449/241764
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling LQR Optimal Control Applied in an Energy Harvesting System with Non-ideal Excitation Operating with Uncertain ParametersEnergy harvestingLinear quadratic regulator (LQR)Non-ideal excitationOptimal controlUncertain parametersThe majority of active control applications in vibrational dynamic systems are utilized to minimize vibrations. The goal of this research, on the other hand, is to employ vibrations to generate electrical energy in such a way that the vibration becomes a desired phenomenon. The change of the physical characteristics of the system was conducted in this work with the goal of enhancing the modeling of complex energy harvesting systems with non-ideal excitation, bringing higher resilience, and bringing them closer to reality. To stabilize the orbits and compare the power generated by the systems with and without control, the optimal control technique via Linear Quadratic Regulator (LQR) is used.Department of Mechanical Engineering São Paulo State University, SPDepartment of Engineering Physics and Mathematics São Paulo State University, SPDepartment of Mechanical Engineering São Paulo State University, SPDepartment of Engineering Physics and Mathematics São Paulo State University, SPUniversidade Estadual Paulista (UNESP)de Almeida, Estevão Fuzaro [UNESP]Chavarette, Fábio Roberto [UNESP]2023-03-01T23:41:15Z2023-03-01T23:41:15Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPart381-392http://dx.doi.org/10.1007/978-3-030-96603-4_20Mechanisms and Machine Science, v. 116, p. 381-392.2211-09922211-0984http://hdl.handle.net/11449/24176410.1007/978-3-030-96603-4_202-s2.0-85128683472Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMechanisms and Machine Scienceinfo:eu-repo/semantics/openAccess2024-07-10T15:41:54Zoai:repositorio.unesp.br:11449/241764Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:17:02.279900Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv LQR Optimal Control Applied in an Energy Harvesting System with Non-ideal Excitation Operating with Uncertain Parameters
title LQR Optimal Control Applied in an Energy Harvesting System with Non-ideal Excitation Operating with Uncertain Parameters
spellingShingle LQR Optimal Control Applied in an Energy Harvesting System with Non-ideal Excitation Operating with Uncertain Parameters
de Almeida, Estevão Fuzaro [UNESP]
Energy harvesting
Linear quadratic regulator (LQR)
Non-ideal excitation
Optimal control
Uncertain parameters
title_short LQR Optimal Control Applied in an Energy Harvesting System with Non-ideal Excitation Operating with Uncertain Parameters
title_full LQR Optimal Control Applied in an Energy Harvesting System with Non-ideal Excitation Operating with Uncertain Parameters
title_fullStr LQR Optimal Control Applied in an Energy Harvesting System with Non-ideal Excitation Operating with Uncertain Parameters
title_full_unstemmed LQR Optimal Control Applied in an Energy Harvesting System with Non-ideal Excitation Operating with Uncertain Parameters
title_sort LQR Optimal Control Applied in an Energy Harvesting System with Non-ideal Excitation Operating with Uncertain Parameters
author de Almeida, Estevão Fuzaro [UNESP]
author_facet de Almeida, Estevão Fuzaro [UNESP]
Chavarette, Fábio Roberto [UNESP]
author_role author
author2 Chavarette, Fábio Roberto [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv de Almeida, Estevão Fuzaro [UNESP]
Chavarette, Fábio Roberto [UNESP]
dc.subject.por.fl_str_mv Energy harvesting
Linear quadratic regulator (LQR)
Non-ideal excitation
Optimal control
Uncertain parameters
topic Energy harvesting
Linear quadratic regulator (LQR)
Non-ideal excitation
Optimal control
Uncertain parameters
description The majority of active control applications in vibrational dynamic systems are utilized to minimize vibrations. The goal of this research, on the other hand, is to employ vibrations to generate electrical energy in such a way that the vibration becomes a desired phenomenon. The change of the physical characteristics of the system was conducted in this work with the goal of enhancing the modeling of complex energy harvesting systems with non-ideal excitation, bringing higher resilience, and bringing them closer to reality. To stabilize the orbits and compare the power generated by the systems with and without control, the optimal control technique via Linear Quadratic Regulator (LQR) is used.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
2023-03-01T23:41:15Z
2023-03-01T23:41:15Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/978-3-030-96603-4_20
Mechanisms and Machine Science, v. 116, p. 381-392.
2211-0992
2211-0984
http://hdl.handle.net/11449/241764
10.1007/978-3-030-96603-4_20
2-s2.0-85128683472
url http://dx.doi.org/10.1007/978-3-030-96603-4_20
http://hdl.handle.net/11449/241764
identifier_str_mv Mechanisms and Machine Science, v. 116, p. 381-392.
2211-0992
2211-0984
10.1007/978-3-030-96603-4_20
2-s2.0-85128683472
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Mechanisms and Machine Science
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 381-392
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128340171685888

Registros relacionados