Desenvolvimento de sistema de controle híbrido Fuzzy-PID para motogeradores a biogás

Detalhes bibliográficos
Ano de defesa: 2020
Autor(a) principal: Costa, Lucas Ribeiro da
Orientador(a): Soares, José Marques
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Não Informado pela instituição
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://www.repositorio.ufc.br/handle/riufc/52246
Resumo: The use of biogas as a renewable source of energy is already a reality, being applied both in heat production and in power generation and cogeneration plants. In this sense, this work presents itself as a contribution to the strengthening of the use of this renewable energy source, proposing a control system capable of ensuring the quality of the energy generated and satisfactory levels of efficiency. More specifically, a control system was proposed to ensure that the electrical frequency at the generator output remained within the standards required by the Brazilian standard, even under adverse conditions of load variation and fuel composition during the operation of the generator set. For this, a mathematical model was developed in order to represent the mechanical effects of the fuel composition and load variations, as well as to represent the electrical phenomena involved in the conversion of mechanical energy into electrical energy. Then, the model was implemented computationally and tested with a control system composed of a hybrid controller formed by a Fuzzy System that optimizes the gains of PID controllers. Finally, simulations of the proposed system were carried out, contemplating varied operating scenarios, from standard operation in permanent regime to the simulation of defects, serious failures, sudden variations in load and fuel. It was observed that the system without the hybrid controller presents an unstable behavior when submitted to variations of the inputs. With the introduction of the Fuzzy-PID control, it was observed that the system presents a satisfactorily fast response (rise time 0.0094 s and accommodation time 0.0764 s) in addition to ensuring that the oscillations remained within the limit established by norm , with frequency between 59.9 Hz and 60.1 Hz and voltage between 90% and 110% of the nominal value of the electrical network.
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spelling Costa, Lucas Ribeiro daBarroso, Giovanni CordeiroSoares, José Marques2020-06-09T16:17:58Z2020-06-09T16:17:58Z2020COSTA, L. R. da. Desenvolvimento de sistema de controle híbrido Fuzzy-PID para motogeradores a biogás. 2020. 96 f. Dissertação (Mestrado em Engenharia de Teleinformática) – Centro de Tecnologia, Universidade Federal do Ceará, Fortaleza, 2020.http://www.repositorio.ufc.br/handle/riufc/52246The use of biogas as a renewable source of energy is already a reality, being applied both in heat production and in power generation and cogeneration plants. In this sense, this work presents itself as a contribution to the strengthening of the use of this renewable energy source, proposing a control system capable of ensuring the quality of the energy generated and satisfactory levels of efficiency. More specifically, a control system was proposed to ensure that the electrical frequency at the generator output remained within the standards required by the Brazilian standard, even under adverse conditions of load variation and fuel composition during the operation of the generator set. For this, a mathematical model was developed in order to represent the mechanical effects of the fuel composition and load variations, as well as to represent the electrical phenomena involved in the conversion of mechanical energy into electrical energy. Then, the model was implemented computationally and tested with a control system composed of a hybrid controller formed by a Fuzzy System that optimizes the gains of PID controllers. Finally, simulations of the proposed system were carried out, contemplating varied operating scenarios, from standard operation in permanent regime to the simulation of defects, serious failures, sudden variations in load and fuel. It was observed that the system without the hybrid controller presents an unstable behavior when submitted to variations of the inputs. With the introduction of the Fuzzy-PID control, it was observed that the system presents a satisfactorily fast response (rise time 0.0094 s and accommodation time 0.0764 s) in addition to ensuring that the oscillations remained within the limit established by norm , with frequency between 59.9 Hz and 60.1 Hz and voltage between 90% and 110% of the nominal value of the electrical network.O uso de biogás como fonte renovável de energia já é uma realidade, sendo aplicado tanto em produção de calor como em plantas de geração e cogeração de energia elétrica. Neste sentido, este trabalho apresenta-se como uma contribuição para o fortalecimento do uso desta fonte de energia renovável, propondo um sistema de controle capaz de assegurar a qualidade da energia gerada e níveis de eficiência satisfatórios. De forma mais específica, foi proposto um sistema de controle que assegure que a frequência elétrica na saída do gerador permanecesse dentro dos padrões exigidos pela norma brasileira, mesmo sob condições adversas de variação de carga e composição do combustível durante a operação do grupo gerador. Para tal, um modelo matemático foi desenvolvido de forma a representar os efeitos mecânicos da composição do combustível e variações de carga, bem como representar os fenômenos elétricos envolvidos na conversão de energia mecânica em energia elétrica. Em seguida, o modelo foi implementado computacionalmente e testado com um sistema de controle composto por um controlador híbrido formado por um Sistema Fuzzy que otimiza os ganhos de controladores PID. Por fim, foram realizadas simulações do sistema proposto contemplando cenários variados de operação, desde operação padrão em regime permanente até a simulação de defeitos, falhas graves, variações súbitas de carga e de composição do combustível. Observou-se que o sistema sem o controlador híbrido apresenta comportamento instável quando submetidos às variações das entradas (carga e composição do combustível). Com a introdução do controle Fuzzy-PID, observou-se que o sistema apresentou uma resposta satisfatoriamente rápida (tempo de subida 0,0094 s e tempo de acomodação de 0,0764 s), além de assegurar que as oscilações se mantivessem dentro do limite estabelecido por norma, frequência entre 59,9 Hz e 60,1 Hz e tensão entre 90% e 110% do valor nominal da rede elétrica.TeleinformáticaBiogásLógica difusaGeração distribuída de energia elétricaGenerator setFuzzy logicDesenvolvimento de sistema de controle híbrido Fuzzy-PID para motogeradores a biogásinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisporreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccessLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.ufc.br/bitstream/riufc/52246/6/license.txt8a4605be74aa9ea9d79846c1fba20a33MD56ORIGINAL2020_dis_lrcosta.pdf2020_dis_lrcosta.pdfapplication/pdf4114273http://repositorio.ufc.br/bitstream/riufc/52246/5/2020_dis_lrcosta.pdfad34d19616b854bdfd8c0f0f73c7736bMD55riufc/522462022-11-17 11:09:58.27oai:repositorio.ufc.br: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Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2022-11-17T14:09:58Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.pt_BR.fl_str_mv Desenvolvimento de sistema de controle híbrido Fuzzy-PID para motogeradores a biogás
title Desenvolvimento de sistema de controle híbrido Fuzzy-PID para motogeradores a biogás
spellingShingle Desenvolvimento de sistema de controle híbrido Fuzzy-PID para motogeradores a biogás
Costa, Lucas Ribeiro da
Teleinformática
Biogás
Lógica difusa
Geração distribuída de energia elétrica
Generator set
Fuzzy logic
title_short Desenvolvimento de sistema de controle híbrido Fuzzy-PID para motogeradores a biogás
title_full Desenvolvimento de sistema de controle híbrido Fuzzy-PID para motogeradores a biogás
title_fullStr Desenvolvimento de sistema de controle híbrido Fuzzy-PID para motogeradores a biogás
title_full_unstemmed Desenvolvimento de sistema de controle híbrido Fuzzy-PID para motogeradores a biogás
title_sort Desenvolvimento de sistema de controle híbrido Fuzzy-PID para motogeradores a biogás
author Costa, Lucas Ribeiro da
author_facet Costa, Lucas Ribeiro da
author_role author
dc.contributor.co-advisor.none.fl_str_mv Barroso, Giovanni Cordeiro
dc.contributor.author.fl_str_mv Costa, Lucas Ribeiro da
dc.contributor.advisor1.fl_str_mv Soares, José Marques
contributor_str_mv Soares, José Marques
dc.subject.por.fl_str_mv Teleinformática
Biogás
Lógica difusa
Geração distribuída de energia elétrica
Generator set
Fuzzy logic
topic Teleinformática
Biogás
Lógica difusa
Geração distribuída de energia elétrica
Generator set
Fuzzy logic
description The use of biogas as a renewable source of energy is already a reality, being applied both in heat production and in power generation and cogeneration plants. In this sense, this work presents itself as a contribution to the strengthening of the use of this renewable energy source, proposing a control system capable of ensuring the quality of the energy generated and satisfactory levels of efficiency. More specifically, a control system was proposed to ensure that the electrical frequency at the generator output remained within the standards required by the Brazilian standard, even under adverse conditions of load variation and fuel composition during the operation of the generator set. For this, a mathematical model was developed in order to represent the mechanical effects of the fuel composition and load variations, as well as to represent the electrical phenomena involved in the conversion of mechanical energy into electrical energy. Then, the model was implemented computationally and tested with a control system composed of a hybrid controller formed by a Fuzzy System that optimizes the gains of PID controllers. Finally, simulations of the proposed system were carried out, contemplating varied operating scenarios, from standard operation in permanent regime to the simulation of defects, serious failures, sudden variations in load and fuel. It was observed that the system without the hybrid controller presents an unstable behavior when submitted to variations of the inputs. With the introduction of the Fuzzy-PID control, it was observed that the system presents a satisfactorily fast response (rise time 0.0094 s and accommodation time 0.0764 s) in addition to ensuring that the oscillations remained within the limit established by norm , with frequency between 59.9 Hz and 60.1 Hz and voltage between 90% and 110% of the nominal value of the electrical network.
publishDate 2020
dc.date.accessioned.fl_str_mv 2020-06-09T16:17:58Z
dc.date.available.fl_str_mv 2020-06-09T16:17:58Z
dc.date.issued.fl_str_mv 2020
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv COSTA, L. R. da. Desenvolvimento de sistema de controle híbrido Fuzzy-PID para motogeradores a biogás. 2020. 96 f. Dissertação (Mestrado em Engenharia de Teleinformática) – Centro de Tecnologia, Universidade Federal do Ceará, Fortaleza, 2020.
dc.identifier.uri.fl_str_mv http://www.repositorio.ufc.br/handle/riufc/52246
identifier_str_mv COSTA, L. R. da. Desenvolvimento de sistema de controle híbrido Fuzzy-PID para motogeradores a biogás. 2020. 96 f. Dissertação (Mestrado em Engenharia de Teleinformática) – Centro de Tecnologia, Universidade Federal do Ceará, Fortaleza, 2020.
url http://www.repositorio.ufc.br/handle/riufc/52246
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