Desempenho de métodos clássicos e meta-heurísticas aplicadas à sintonia de controladores PID sob o aspecto do fator de incontrolabilidade
Salvato in:
| Autore principale: | |
|---|---|
| Data di pubblicazione: | 2023 |
| Natura: | Master thesis |
| Lingua: | por |
| Fonte: | Repositório Institucional da UFG |
| Download full: | http://repositorio.bc.ufg.br/tede/handle/tede/12768 |
Riassunto: | The PID (Proportional Integral Derivative) is one of the most used in industry, and has been employed around the world for decades in industrial control systems. Its popularity can be attributed in part, to its robust performance, in a wide range of operating conditions, and their functional simplicity, which allows engineers to operate them in a simple and direct way. However, tuning such controllers effectively, represents a challenge to control engineers, since it directly affects the efficiency of the system. In the context of modern industry, the setback is even greater, due to the complexity of the processes involved, in which the presence of the Dead Time and the Time Constant of the system, have a great impact on its response. Tuning of PID controllers aims to satisfy some specifications imposed on the transient and steadystate characteristics of the response of the system being controlled. Generally, these specifications fall on the values of Rise Time (Tr), Settlement Time (Ts), Maximum Value overshoot (Mp) and a maximum acceptable Stationary Error (Ess) value. Within the scope of control problems that offer great complexity, either because of the impossibility of previously knowing the transfer function of the system, or due to its multivariable characteristics, several researches have been carried out within the scope of optimizing the tuning of PID controllers using meta-heuristics. In many situations, the system PID cannot be accurately modeled, and still malfunctions in the presence of noise or external disturbances due to the adjustment problem of its parameters that are challenging in practice, as they depend on characteristics of the environment. In this work, we sought to evaluate the performance of the PID controller under the aspect of Uncontrollability Factor when tuned by Genetic Algorithm heuristics (GA) and Particle Swarm (PSO), which have been shown to be more effective in compared to classical tuning methods. Six case studies were evaluated, with varied Uncontrollability Factors. |
| _version_ | 1871426410652893184 |
|---|---|
| author | Andrade Filho, Alfredo de Paulo |
| author_browse | Andrade Filho, Alfredo de Paulo |
| author_facet | Andrade Filho, Alfredo de Paulo |
| author_role | author |
| bitstream.checksum.fl_str_mv | 201d4d39518233120ae6127193c501ee 8a4605be74aa9ea9d79846c1fba20a33 4460e5956bc1d1639be9ae6146a50347 |
| bitstream.checksumAlgorithm.fl_str_mv | MD5 MD5 MD5 |
| bitstream.url.fl_str_mv | http://repositorio.bc.ufg.br/tede/bitstreams/12ae3ea4-67ec-4916-a2a7-d87f87a3ee19/download http://repositorio.bc.ufg.br/tede/bitstreams/958a962f-3bc1-4fb8-975c-a8874790af70/download http://repositorio.bc.ufg.br/tede/bitstreams/6ec3213b-5571-4307-b839-c434b2fc2121/download |
| collection | Repositório Institucional da UFG |
| contributor_str_mv | Cruz Júnior, Gelson da Cardoso, Alisson Assis Cruz Júnior, Gelson da Avelar, Henrique José Teixeira, Edilberto Pereira |
| dc.contributor.advisor-co1.fl_str_mv | Cardoso, Alisson Assis |
| dc.contributor.advisor-co1Lattes.fl_str_mv | http://lattes.cnpq.br/8216536516894987 |
| dc.contributor.advisor1.fl_str_mv | Cruz Júnior, Gelson da |
| dc.contributor.advisor1Lattes.fl_str_mv | http://lattes.cnpq.br/4370555454162131 |
| dc.contributor.author.fl_str_mv | Andrade Filho, Alfredo de Paulo |
| dc.contributor.authorLattes.fl_str_mv | https://lattes.cnpq.br/6376828108145643 |
| dc.contributor.referee1.fl_str_mv | Cruz Júnior, Gelson da |
| dc.contributor.referee2.fl_str_mv | Avelar, Henrique José |
| dc.contributor.referee3.fl_str_mv | Teixeira, Edilberto Pereira |
| dc.date.accessioned.fl_str_mv | 2023-04-24T10:36:32Z |
| dc.date.available.fl_str_mv | 2023-04-24T10:36:32Z |
| dc.date.issued.fl_str_mv | 2023-03-30 |
| dc.identifier.citation.fl_str_mv | ANDRADE FILHO, A. P. Desempenho de métodos clássicos e meta-heurísticas aplicadas à sintonia de controladores PID sob o aspecto do fator de incontrolabilidade. 2023. 137 f. Dissertação (Mestrado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás, Goiânia, 2023. |
| dc.identifier.uri.fl_str_mv | http://repositorio.bc.ufg.br/tede/handle/tede/12768 |
| dc.language.iso.fl_str_mv | por |
| dc.publisher.country.fl_str_mv | Brasil |
| dc.publisher.department.fl_str_mv | Escola de Engenharia Elétrica, Mecânica e de Computação - EMC (RMG) |
| dc.publisher.initials.fl_str_mv | UFG |
| dc.publisher.none.fl_str_mv | Universidade Federal de Goiás |
| dc.publisher.program.fl_str_mv | Programa de Pós-graduação em Engenharia Elétrica e da Computação (EMC) |
| dc.relation.cnpq.fl_str_mv | 478 |
| dc.relation.confidence.fl_str_mv | 500 500 500 500 |
| dc.relation.department.fl_str_mv | 4 |
| dc.relation.program.fl_str_mv | 50 |
| dc.relation.sponsorship.fl_str_mv | 1 |
| dc.rights.driver.fl_str_mv | Attribution-NonCommercial-NoDerivatives 4.0 International info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:Repositório Institucional da UFG instname:Universidade Federal de Goiás (UFG) instacron:UFG |
| dc.subject.cnpq.fl_str_mv | ENGENHARIAS::ENGENHARIA ELETRICA |
| dc.subject.eng.fl_str_mv | Genetic algorithm Particle swarm Classical methods PID controller tuning |
| dc.subject.por.fl_str_mv | Algoritmo genético Enxame de partículas Métodos clássicos Sintonia de controladores PID |
| dc.title.alternative.eng.fl_str_mv | Performance of classical methods and meta-heuristics applied to tuning PID controllers, under the aspect of the factor of uncontrollability |
| dc.title.pt_BR.fl_str_mv | Desempenho de métodos clássicos e meta-heurísticas aplicadas à sintonia de controladores PID sob o aspecto do fator de incontrolabilidade |
| dc.type.driver.fl_str_mv | info:eu-repo/semantics/masterThesis |
| dc.type.status.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | The PID (Proportional Integral Derivative) is one of the most used in industry, and has been employed around the world for decades in industrial control systems. Its popularity can be attributed in part, to its robust performance, in a wide range of operating conditions, and their functional simplicity, which allows engineers to operate them in a simple and direct way. However, tuning such controllers effectively, represents a challenge to control engineers, since it directly affects the efficiency of the system. In the context of modern industry, the setback is even greater, due to the complexity of the processes involved, in which the presence of the Dead Time and the Time Constant of the system, have a great impact on its response. Tuning of PID controllers aims to satisfy some specifications imposed on the transient and steadystate characteristics of the response of the system being controlled. Generally, these specifications fall on the values of Rise Time (Tr), Settlement Time (Ts), Maximum Value overshoot (Mp) and a maximum acceptable Stationary Error (Ess) value. Within the scope of control problems that offer great complexity, either because of the impossibility of previously knowing the transfer function of the system, or due to its multivariable characteristics, several researches have been carried out within the scope of optimizing the tuning of PID controllers using meta-heuristics. In many situations, the system PID cannot be accurately modeled, and still malfunctions in the presence of noise or external disturbances due to the adjustment problem of its parameters that are challenging in practice, as they depend on characteristics of the environment. In this work, we sought to evaluate the performance of the PID controller under the aspect of Uncontrollability Factor when tuned by Genetic Algorithm heuristics (GA) and Particle Swarm (PSO), which have been shown to be more effective in compared to classical tuning methods. Six case studies were evaluated, with varied Uncontrollability Factors. |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| id | UFG-2_c206ec2b49ed1d74bbcd410b3a0eae3e |
| identifier_str_mv | ANDRADE FILHO, A. P. Desempenho de métodos clássicos e meta-heurísticas aplicadas à sintonia de controladores PID sob o aspecto do fator de incontrolabilidade. 2023. 137 f. Dissertação (Mestrado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás, Goiânia, 2023. |
| instacron_str | UFG |
| institution | UFG |
| instname_str | Universidade Federal de Goiás (UFG) |
| language | por |
| network_acronym_str | UFG-2 |
| network_name_str | Repositório Institucional da UFG |
| oai_identifier_str | oai:repositorio.bc.ufg.br:tede/12768 |
| publishDate | 2023 |
| publishDateSort | 2023 |
| publisher.none.fl_str_mv | Universidade Federal de Goiás |
| reponame_str | Repositório Institucional da UFG |
| repository.mail.fl_str_mv | grt.bc@ufg.br |
| repository.name.fl_str_mv | Repositório Institucional da UFG - Universidade Federal de Goiás (UFG) |
| repository_id_str | oai:repositorio.bc.ufg.br:tede/1234 |
| rights_invalid_str_mv | Attribution-NonCommercial-NoDerivatives 4.0 International |
| spelling | Cruz Júnior, Gelson dahttp://lattes.cnpq.br/4370555454162131Cardoso, Alisson Assishttp://lattes.cnpq.br/8216536516894987Cruz Júnior, Gelson daAvelar, Henrique JoséTeixeira, Edilberto Pereirahttps://lattes.cnpq.br/6376828108145643Andrade Filho, Alfredo de Paulo2023-04-24T10:36:32Z2023-04-24T10:36:32Z2023-03-30ANDRADE FILHO, A. P. Desempenho de métodos clássicos e meta-heurísticas aplicadas à sintonia de controladores PID sob o aspecto do fator de incontrolabilidade. 2023. 137 f. Dissertação (Mestrado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás, Goiânia, 2023.http://repositorio.bc.ufg.br/tede/handle/tede/12768The PID (Proportional Integral Derivative) is one of the most used in industry, and has been employed around the world for decades in industrial control systems. Its popularity can be attributed in part, to its robust performance, in a wide range of operating conditions, and their functional simplicity, which allows engineers to operate them in a simple and direct way. However, tuning such controllers effectively, represents a challenge to control engineers, since it directly affects the efficiency of the system. In the context of modern industry, the setback is even greater, due to the complexity of the processes involved, in which the presence of the Dead Time and the Time Constant of the system, have a great impact on its response. Tuning of PID controllers aims to satisfy some specifications imposed on the transient and steadystate characteristics of the response of the system being controlled. Generally, these specifications fall on the values of Rise Time (Tr), Settlement Time (Ts), Maximum Value overshoot (Mp) and a maximum acceptable Stationary Error (Ess) value. Within the scope of control problems that offer great complexity, either because of the impossibility of previously knowing the transfer function of the system, or due to its multivariable characteristics, several researches have been carried out within the scope of optimizing the tuning of PID controllers using meta-heuristics. In many situations, the system PID cannot be accurately modeled, and still malfunctions in the presence of noise or external disturbances due to the adjustment problem of its parameters that are challenging in practice, as they depend on characteristics of the environment. In this work, we sought to evaluate the performance of the PID controller under the aspect of Uncontrollability Factor when tuned by Genetic Algorithm heuristics (GA) and Particle Swarm (PSO), which have been shown to be more effective in compared to classical tuning methods. Six case studies were evaluated, with varied Uncontrollability Factors.O PID (Proportional Integral Derivative) é um dos controladores mais utilizados na indústria, e tem sido empregado em todo o mundo ao longo de décadas em sistemas de controle industriais. Sua popularidade pode ser atribuída em parte, ao seu desempenho robusto, em uma ampla gama de condições de funcionamento, e à sua simplicidade funcional, que permite aos engenheiros operá-los de uma forma simples e direta. Entretanto, sintonizar tais controladores com efetividade, representa um desafio aos engenheiros de controle, uma vez que afeta diretamente a eficiência do sistema. No contexto da indústria moderna, o revés é ainda maior, devido a complexidade dos processos envolvidos, em cujos quais, a presença do Tempo Morto e a Constante de Tempo do sistema, geram grande impacto em sua resposta. A sintonia de controladores PID visa satisfazer algumas especificações impostas sobre as características de regime transitório e estacionário da resposta do sistema que está sendo controlado. Geralmente, estas especificações recaem sobre os valores de Tempo de Subida (Tr), Tempo de Acomodação (Ts), Valor Máximo de Ultrapassagem (Mp) e um valor máximo de Erro Estacionário aceitável (Ess). Dentro do escopo dos problemas de controle que oferecem grande complexidade, seja pela impossibilidade de se conhecer previamente a função de transferência do sistema, ou devido as suas características multivariáveis, diversas pesquisas tem sido realizadas no âmbito da otimização da sintonia dos controladores PID utilizando-se meta-heurísticas. Em muitas situações, o sistema PID não pode ser modelado com precisão, e ainda apresenta mau funcionamento na presença de ruído ou perturbações externas devido ao problema de ajuste de seus parâmetros que são desafiadores na prática, por dependerem de características do ambiente. Neste trabalho, buscou-se avaliar o desempenho do controlador PID sob o aspecto do Fator de Incontrolabilidade quando sintonizado pelas heurísticas Algoritmo Genético (GA) e Otimização por Enxame de Partículas (PSO), as quais demonstraram ser mais eficazes em comparação aos métodos clássicos de sintonia. Foram avaliados seis estudos de casos com Fatores de Incontrolabilidade variados.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESporUniversidade Federal de GoiásPrograma de Pós-graduação em Engenharia Elétrica e da Computação (EMC)UFGBrasilEscola de Engenharia Elétrica, Mecânica e de Computação - EMC (RMG)Attribution-NonCommercial-NoDerivatives 4.0 Internationalinfo:eu-repo/semantics/openAccessAlgoritmo genéticoEnxame de partículasMétodos clássicosSintonia de controladores PIDGenetic algorithmParticle swarmClassical methodsPID controller tuningENGENHARIAS::ENGENHARIA ELETRICADesempenho de métodos clássicos e meta-heurísticas aplicadas à sintonia de controladores PID sob o aspecto do fator de incontrolabilidadePerformance of classical methods and meta-heuristics applied to tuning PID controllers, under the aspect of the factor of uncontrollabilityinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis5050050050050044781reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGORIGINALDissertação - Alfredo de Paulo Andrade Filho - 2023.pdfDissertação - Alfredo de Paulo Andrade Filho - 2023.pdfapplication/pdf10744478http://repositorio.bc.ufg.br/tede/bitstreams/12ae3ea4-67ec-4916-a2a7-d87f87a3ee19/download201d4d39518233120ae6127193c501eeMD53LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.bc.ufg.br/tede/bitstreams/958a962f-3bc1-4fb8-975c-a8874790af70/download8a4605be74aa9ea9d79846c1fba20a33MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.bc.ufg.br/tede/bitstreams/6ec3213b-5571-4307-b839-c434b2fc2121/download4460e5956bc1d1639be9ae6146a50347MD52tede/127682023-04-24 07:36:32.386http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internationalopen.accessoai:repositorio.bc.ufg.br:tede/12768http://repositorio.bc.ufg.br/tedeRepositório InstitucionalPUBhttps://repositorio.bc.ufg.br/tedeserver/oai/requestgrt.bc@ufg.bropendoar:oai:repositorio.bc.ufg.br:tede/12342023-04-24T10:36:32Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)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 |
| spellingShingle | Desempenho de métodos clássicos e meta-heurísticas aplicadas à sintonia de controladores PID sob o aspecto do fator de incontrolabilidade Andrade Filho, Alfredo de Paulo Algoritmo genético Enxame de partículas Métodos clássicos Sintonia de controladores PID Genetic algorithm Particle swarm Classical methods PID controller tuning ENGENHARIAS::ENGENHARIA ELETRICA |
| status_str | publishedVersion |
| title | Desempenho de métodos clássicos e meta-heurísticas aplicadas à sintonia de controladores PID sob o aspecto do fator de incontrolabilidade |
| title_full | Desempenho de métodos clássicos e meta-heurísticas aplicadas à sintonia de controladores PID sob o aspecto do fator de incontrolabilidade |
| title_fullStr | Desempenho de métodos clássicos e meta-heurísticas aplicadas à sintonia de controladores PID sob o aspecto do fator de incontrolabilidade |
| title_full_unstemmed | Desempenho de métodos clássicos e meta-heurísticas aplicadas à sintonia de controladores PID sob o aspecto do fator de incontrolabilidade |
| title_short | Desempenho de métodos clássicos e meta-heurísticas aplicadas à sintonia de controladores PID sob o aspecto do fator de incontrolabilidade |
| title_sort | Desempenho de métodos clássicos e meta-heurísticas aplicadas à sintonia de controladores PID sob o aspecto do fator de incontrolabilidade |
| topic | Algoritmo genético Enxame de partículas Métodos clássicos Sintonia de controladores PID Genetic algorithm Particle swarm Classical methods PID controller tuning ENGENHARIAS::ENGENHARIA ELETRICA |
| url | http://repositorio.bc.ufg.br/tede/handle/tede/12768 |