Grey wolf optimization for PID controller design with prescribed robustness margins

Detalhes bibliográficos
Autor(a) principal: Paulo Moura Oliveira
Data de Publicação: 2016
Outros Autores: Hélio Alves Freire, Eduardo Pires
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://repositorio.inesctec.pt/handle/123456789/4889
http://dx.doi.org/10.1007/s00500-016-2291-y
Resumo: The grey wolf optimization algorithm is proposed to design proportional, integrative and derivative controllers using a two degrees of freedom control configuration. The control system is designed in order to achieve good set-point tracking and disturbance rejection performance. The design is accomplished by minimizing an aggregated cost function based on the time-weighted absolute error integral, subjected to robustness constraints. The control system robustness levels are prescribed in terms of the vector margin and maximum complementary sensitivity function values. Simulation results are presented for several common systems dynamics and compared with the ones obtained with a particle swarm optimization algorithm.
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spelling Grey wolf optimization for PID controller design with prescribed robustness marginsThe grey wolf optimization algorithm is proposed to design proportional, integrative and derivative controllers using a two degrees of freedom control configuration. The control system is designed in order to achieve good set-point tracking and disturbance rejection performance. The design is accomplished by minimizing an aggregated cost function based on the time-weighted absolute error integral, subjected to robustness constraints. The control system robustness levels are prescribed in terms of the vector margin and maximum complementary sensitivity function values. Simulation results are presented for several common systems dynamics and compared with the ones obtained with a particle swarm optimization algorithm.2017-12-22T23:03:55Z2016-01-01T00:00:00Z2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/4889http://dx.doi.org/10.1007/s00500-016-2291-yengPaulo Moura OliveiraHélio Alves FreireEduardo Piresinfo:eu-repo/semantics/embargoedAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-10-12T02:22:00Zoai:repositorio.inesctec.pt:123456789/4889Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:58:01.708546Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Grey wolf optimization for PID controller design with prescribed robustness margins
title Grey wolf optimization for PID controller design with prescribed robustness margins
spellingShingle Grey wolf optimization for PID controller design with prescribed robustness margins
Paulo Moura Oliveira
title_short Grey wolf optimization for PID controller design with prescribed robustness margins
title_full Grey wolf optimization for PID controller design with prescribed robustness margins
title_fullStr Grey wolf optimization for PID controller design with prescribed robustness margins
title_full_unstemmed Grey wolf optimization for PID controller design with prescribed robustness margins
title_sort Grey wolf optimization for PID controller design with prescribed robustness margins
author Paulo Moura Oliveira
author_facet Paulo Moura Oliveira
Hélio Alves Freire
Eduardo Pires
author_role author
author2 Hélio Alves Freire
Eduardo Pires
author2_role author
author
dc.contributor.author.fl_str_mv Paulo Moura Oliveira
Hélio Alves Freire
Eduardo Pires
description The grey wolf optimization algorithm is proposed to design proportional, integrative and derivative controllers using a two degrees of freedom control configuration. The control system is designed in order to achieve good set-point tracking and disturbance rejection performance. The design is accomplished by minimizing an aggregated cost function based on the time-weighted absolute error integral, subjected to robustness constraints. The control system robustness levels are prescribed in terms of the vector margin and maximum complementary sensitivity function values. Simulation results are presented for several common systems dynamics and compared with the ones obtained with a particle swarm optimization algorithm.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01T00:00:00Z
2016
2017-12-22T23:03:55Z
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dc.identifier.uri.fl_str_mv http://repositorio.inesctec.pt/handle/123456789/4889
http://dx.doi.org/10.1007/s00500-016-2291-y
url http://repositorio.inesctec.pt/handle/123456789/4889
http://dx.doi.org/10.1007/s00500-016-2291-y
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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