Application of genetic algorithms to the adjustment of the supports of fuzzy sets in a mamdani controller

Detalhes bibliográficos
Autor(a) principal: Mazzucco,M.M.
Data de Publicação: 2000
Outros Autores: Bolzan,A., Barcia,R.M., Machado,R.A. F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Chemical Engineering
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322000000400027
Resumo: The development of control systems based on fuzzy rules facilitates the solving of problems when insufficient phenomenological information is available. The most common way of grouping fuzzy rules to form a controller is known as Mamdani controller. This controller consists of a set of rules with two premises, the error and the error variation, and one conclusion, the control action variation. One of the most delicate phases of the project of fuzzy systems is the definition of the supports (range) of each fuzzy qualifiers. This work apply genetic algorithms, together with some model of the system, to the adjustment of the supports of the fuzzy sets used in a Mamdani controller. The results show that the automatic adjustment is faster and more efficient that the manual one. Finally, the results are compared with a PID that was also adjusted with genetic algorithms.
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spelling Application of genetic algorithms to the adjustment of the supports of fuzzy sets in a mamdani controllerFuzzy logicGenetic AlgorithmMamdani ControllerThe development of control systems based on fuzzy rules facilitates the solving of problems when insufficient phenomenological information is available. The most common way of grouping fuzzy rules to form a controller is known as Mamdani controller. This controller consists of a set of rules with two premises, the error and the error variation, and one conclusion, the control action variation. One of the most delicate phases of the project of fuzzy systems is the definition of the supports (range) of each fuzzy qualifiers. This work apply genetic algorithms, together with some model of the system, to the adjustment of the supports of the fuzzy sets used in a Mamdani controller. The results show that the automatic adjustment is faster and more efficient that the manual one. Finally, the results are compared with a PID that was also adjusted with genetic algorithms.Brazilian Society of Chemical Engineering2000-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322000000400027Brazilian Journal of Chemical Engineering v.17 n.4-7 2000reponame:Brazilian Journal of Chemical Engineeringinstname:Associação Brasileira de Engenharia Química (ABEQ)instacron:ABEQ10.1590/S0104-66322000000400027info:eu-repo/semantics/openAccessMazzucco,M.M.Bolzan,A.Barcia,R.M.Machado,R.A. F.eng2001-03-16T00:00:00Zoai:scielo:S0104-66322000000400027Revistahttps://www.scielo.br/j/bjce/https://old.scielo.br/oai/scielo-oai.phprgiudici@usp.br||rgiudici@usp.br1678-43830104-6632opendoar:2001-03-16T00:00Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)false
dc.title.none.fl_str_mv Application of genetic algorithms to the adjustment of the supports of fuzzy sets in a mamdani controller
title Application of genetic algorithms to the adjustment of the supports of fuzzy sets in a mamdani controller
spellingShingle Application of genetic algorithms to the adjustment of the supports of fuzzy sets in a mamdani controller
Mazzucco,M.M.
Fuzzy logic
Genetic Algorithm
Mamdani Controller
title_short Application of genetic algorithms to the adjustment of the supports of fuzzy sets in a mamdani controller
title_full Application of genetic algorithms to the adjustment of the supports of fuzzy sets in a mamdani controller
title_fullStr Application of genetic algorithms to the adjustment of the supports of fuzzy sets in a mamdani controller
title_full_unstemmed Application of genetic algorithms to the adjustment of the supports of fuzzy sets in a mamdani controller
title_sort Application of genetic algorithms to the adjustment of the supports of fuzzy sets in a mamdani controller
author Mazzucco,M.M.
author_facet Mazzucco,M.M.
Bolzan,A.
Barcia,R.M.
Machado,R.A. F.
author_role author
author2 Bolzan,A.
Barcia,R.M.
Machado,R.A. F.
author2_role author
author
author
dc.contributor.author.fl_str_mv Mazzucco,M.M.
Bolzan,A.
Barcia,R.M.
Machado,R.A. F.
dc.subject.por.fl_str_mv Fuzzy logic
Genetic Algorithm
Mamdani Controller
topic Fuzzy logic
Genetic Algorithm
Mamdani Controller
description The development of control systems based on fuzzy rules facilitates the solving of problems when insufficient phenomenological information is available. The most common way of grouping fuzzy rules to form a controller is known as Mamdani controller. This controller consists of a set of rules with two premises, the error and the error variation, and one conclusion, the control action variation. One of the most delicate phases of the project of fuzzy systems is the definition of the supports (range) of each fuzzy qualifiers. This work apply genetic algorithms, together with some model of the system, to the adjustment of the supports of the fuzzy sets used in a Mamdani controller. The results show that the automatic adjustment is faster and more efficient that the manual one. Finally, the results are compared with a PID that was also adjusted with genetic algorithms.
publishDate 2000
dc.date.none.fl_str_mv 2000-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322000000400027
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322000000400027
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0104-66322000000400027
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Brazilian Society of Chemical Engineering
publisher.none.fl_str_mv Brazilian Society of Chemical Engineering
dc.source.none.fl_str_mv Brazilian Journal of Chemical Engineering v.17 n.4-7 2000
reponame:Brazilian Journal of Chemical Engineering
instname:Associação Brasileira de Engenharia Química (ABEQ)
instacron:ABEQ
instname_str Associação Brasileira de Engenharia Química (ABEQ)
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institution ABEQ
reponame_str Brazilian Journal of Chemical Engineering
collection Brazilian Journal of Chemical Engineering
repository.name.fl_str_mv Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)
repository.mail.fl_str_mv rgiudici@usp.br||rgiudici@usp.br
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