A fly-by-wire rudder control system design using multiobjective optimization.

Detalhes bibliográficos
Autor(a) principal: Bernardo Reis Dreyer de Souza
Data de Publicação: 2009
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Biblioteca Digital de Teses e Dissertações do ITA
Texto Completo: http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1212
Resumo: This work aims to demonstrate an approach to design a fly-by-wire mobile surface control system for a commercial jet employing multiobjective optimization techniques. This approach consists on sizing a set of design parameters of the control system based on model simulation and response analysis coupled with optimization algorithms in a multiobjective design environment. An overview on control surface systems is presented, focusing on fly-by-wire. To provide the theoretical basis, a review on optimization theory and methods is presented, as well it is developed the system mathematical model. The system in focus is of electro-hydraulic actuation, where a controller acts on a servo valve, that commands an actuator for positioning control of an aircraft rudder. The design approach was to optimize a set of system components parameters, such as controller gains, servo valve and hydraulic actuator parameters, that result in adequate workloads and produce a system that meets the design requirements and is cost-effective. The model, to be simulated and analyzed, is implemented in MATLAB/Simulink, from where the system response characteristics are passed to the optimization environment. A multiobjective genetic algorithm is applied, and as a result from the optimization process we obtain a Pareto set, from where an optimal design is chosen for a detailed analysis.
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spelling A fly-by-wire rudder control system design using multiobjective optimization.Otimização de paretoSistemas hidráulicos de aeronavesControle de pilotagem por fiosSuperfícies de controleModelos matemáticosSimulação computadorizadaEngenharia aeronáuticaThis work aims to demonstrate an approach to design a fly-by-wire mobile surface control system for a commercial jet employing multiobjective optimization techniques. This approach consists on sizing a set of design parameters of the control system based on model simulation and response analysis coupled with optimization algorithms in a multiobjective design environment. An overview on control surface systems is presented, focusing on fly-by-wire. To provide the theoretical basis, a review on optimization theory and methods is presented, as well it is developed the system mathematical model. The system in focus is of electro-hydraulic actuation, where a controller acts on a servo valve, that commands an actuator for positioning control of an aircraft rudder. The design approach was to optimize a set of system components parameters, such as controller gains, servo valve and hydraulic actuator parameters, that result in adequate workloads and produce a system that meets the design requirements and is cost-effective. The model, to be simulated and analyzed, is implemented in MATLAB/Simulink, from where the system response characteristics are passed to the optimization environment. A multiobjective genetic algorithm is applied, and as a result from the optimization process we obtain a Pareto set, from where an optimal design is chosen for a detailed analysis.Instituto Tecnológico de AeronáuticaRoberto Garcia NegrãoAlberto Adade FilhoBernardo Reis Dreyer de Souza2009-03-20info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1212reponame:Biblioteca Digital de Teses e Dissertações do ITAinstname:Instituto Tecnológico de Aeronáuticainstacron:ITAenginfo:eu-repo/semantics/openAccessapplication/pdf2019-02-02T14:02:36Zoai:agregador.ibict.br.BDTD_ITA:oai:ita.br:1212http://oai.bdtd.ibict.br/requestopendoar:null2020-05-28 19:35:43.115Biblioteca Digital de Teses e Dissertações do ITA - Instituto Tecnológico de Aeronáuticatrue
dc.title.none.fl_str_mv A fly-by-wire rudder control system design using multiobjective optimization.
title A fly-by-wire rudder control system design using multiobjective optimization.
spellingShingle A fly-by-wire rudder control system design using multiobjective optimization.
Bernardo Reis Dreyer de Souza
Otimização de pareto
Sistemas hidráulicos de aeronaves
Controle de pilotagem por fios
Superfícies de controle
Modelos matemáticos
Simulação computadorizada
Engenharia aeronáutica
title_short A fly-by-wire rudder control system design using multiobjective optimization.
title_full A fly-by-wire rudder control system design using multiobjective optimization.
title_fullStr A fly-by-wire rudder control system design using multiobjective optimization.
title_full_unstemmed A fly-by-wire rudder control system design using multiobjective optimization.
title_sort A fly-by-wire rudder control system design using multiobjective optimization.
author Bernardo Reis Dreyer de Souza
author_facet Bernardo Reis Dreyer de Souza
author_role author
dc.contributor.none.fl_str_mv Roberto Garcia Negrão
Alberto Adade Filho
dc.contributor.author.fl_str_mv Bernardo Reis Dreyer de Souza
dc.subject.por.fl_str_mv Otimização de pareto
Sistemas hidráulicos de aeronaves
Controle de pilotagem por fios
Superfícies de controle
Modelos matemáticos
Simulação computadorizada
Engenharia aeronáutica
topic Otimização de pareto
Sistemas hidráulicos de aeronaves
Controle de pilotagem por fios
Superfícies de controle
Modelos matemáticos
Simulação computadorizada
Engenharia aeronáutica
dc.description.none.fl_txt_mv This work aims to demonstrate an approach to design a fly-by-wire mobile surface control system for a commercial jet employing multiobjective optimization techniques. This approach consists on sizing a set of design parameters of the control system based on model simulation and response analysis coupled with optimization algorithms in a multiobjective design environment. An overview on control surface systems is presented, focusing on fly-by-wire. To provide the theoretical basis, a review on optimization theory and methods is presented, as well it is developed the system mathematical model. The system in focus is of electro-hydraulic actuation, where a controller acts on a servo valve, that commands an actuator for positioning control of an aircraft rudder. The design approach was to optimize a set of system components parameters, such as controller gains, servo valve and hydraulic actuator parameters, that result in adequate workloads and produce a system that meets the design requirements and is cost-effective. The model, to be simulated and analyzed, is implemented in MATLAB/Simulink, from where the system response characteristics are passed to the optimization environment. A multiobjective genetic algorithm is applied, and as a result from the optimization process we obtain a Pareto set, from where an optimal design is chosen for a detailed analysis.
description This work aims to demonstrate an approach to design a fly-by-wire mobile surface control system for a commercial jet employing multiobjective optimization techniques. This approach consists on sizing a set of design parameters of the control system based on model simulation and response analysis coupled with optimization algorithms in a multiobjective design environment. An overview on control surface systems is presented, focusing on fly-by-wire. To provide the theoretical basis, a review on optimization theory and methods is presented, as well it is developed the system mathematical model. The system in focus is of electro-hydraulic actuation, where a controller acts on a servo valve, that commands an actuator for positioning control of an aircraft rudder. The design approach was to optimize a set of system components parameters, such as controller gains, servo valve and hydraulic actuator parameters, that result in adequate workloads and produce a system that meets the design requirements and is cost-effective. The model, to be simulated and analyzed, is implemented in MATLAB/Simulink, from where the system response characteristics are passed to the optimization environment. A multiobjective genetic algorithm is applied, and as a result from the optimization process we obtain a Pareto set, from where an optimal design is chosen for a detailed analysis.
publishDate 2009
dc.date.none.fl_str_mv 2009-03-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/masterThesis
status_str publishedVersion
format masterThesis
dc.identifier.uri.fl_str_mv http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1212
url http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1212
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto Tecnológico de Aeronáutica
publisher.none.fl_str_mv Instituto Tecnológico de Aeronáutica
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações do ITA
instname:Instituto Tecnológico de Aeronáutica
instacron:ITA
reponame_str Biblioteca Digital de Teses e Dissertações do ITA
collection Biblioteca Digital de Teses e Dissertações do ITA
instname_str Instituto Tecnológico de Aeronáutica
instacron_str ITA
institution ITA
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações do ITA - Instituto Tecnológico de Aeronáutica
repository.mail.fl_str_mv
subject_por_txtF_mv Otimização de pareto
Sistemas hidráulicos de aeronaves
Controle de pilotagem por fios
Superfícies de controle
Modelos matemáticos
Simulação computadorizada
Engenharia aeronáutica
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