Application of genetic algorithms to the adjustment of the supports of fuzzy sets in a mamdani controller
Autor(a) principal: | |
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Data de Publicação: | 2000 |
Outros Autores: | , , |
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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Brazilian Journal of Chemical Engineering |
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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) |
instacron_str |
ABEQ |
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 |
_version_ |
1754213170760646656 |