A Multi-objective, active fuzzy force controller in control of flexible wiper system

Detalhes bibliográficos
Autor(a) principal: Zolfagharian,Ali
Data de Publicação: 2014
Outros Autores: Ghasemi,Seyed Ebrahim, Imani,Misagh
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Latin American journal of solids and structures (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252014000900002
Resumo: Chaotic vibration has been identified in the flexible automotive wiper blade at certain wiping speeds. This irregular vibration not only decreases the wiping efficiency, but also degrades the driving comfort. A reliable nonlinear system identification namely nonlinear auto regressive exogenous Elman neural network (NARXENN) was adopted in first stage of this survey to model the flexible dynamics of wiper blade with acquired experimental data. In controller design part, taking into account environmental and external disturbances that cause changes in the dynamic characteristics of the system demanded a robust controller to make a trade off between the worst and best scenario. An active fuzzy force controller (AFLC) supervised by multi objective genetic algorithm (MOGA) is developed to keep both interests of noise and vibration redaction of automobile wiper blade at the reasonable rise time.
id ABCM-1_d16fa351e5d9232673312bfa6ffd7c6d
oai_identifier_str oai:scielo:S1679-78252014000900002
network_acronym_str ABCM-1
network_name_str Latin American journal of solids and structures (Online)
repository_id_str
spelling A Multi-objective, active fuzzy force controller in control of flexible wiper systemAutomotive wipersystem identificationfuzzy logicactive force controlobjective genetic algorithmChaotic vibration has been identified in the flexible automotive wiper blade at certain wiping speeds. This irregular vibration not only decreases the wiping efficiency, but also degrades the driving comfort. A reliable nonlinear system identification namely nonlinear auto regressive exogenous Elman neural network (NARXENN) was adopted in first stage of this survey to model the flexible dynamics of wiper blade with acquired experimental data. In controller design part, taking into account environmental and external disturbances that cause changes in the dynamic characteristics of the system demanded a robust controller to make a trade off between the worst and best scenario. An active fuzzy force controller (AFLC) supervised by multi objective genetic algorithm (MOGA) is developed to keep both interests of noise and vibration redaction of automobile wiper blade at the reasonable rise time.Associação Brasileira de Ciências Mecânicas2014-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252014000900002Latin American Journal of Solids and Structures v.11 n.9 2014reponame:Latin American journal of solids and structures (Online)instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)instacron:ABCM10.1590/S1679-78252014000900002info:eu-repo/semantics/openAccessZolfagharian,AliGhasemi,Seyed EbrahimImani,Misagheng2014-06-16T00:00:00Zoai:scielo:S1679-78252014000900002Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=1679-7825&lng=pt&nrm=isohttps://old.scielo.br/oai/scielo-oai.phpabcm@abcm.org.br||maralves@usp.br1679-78251679-7817opendoar:2014-06-16T00:00Latin American journal of solids and structures (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)false
dc.title.none.fl_str_mv A Multi-objective, active fuzzy force controller in control of flexible wiper system
title A Multi-objective, active fuzzy force controller in control of flexible wiper system
spellingShingle A Multi-objective, active fuzzy force controller in control of flexible wiper system
Zolfagharian,Ali
Automotive wiper
system identification
fuzzy logic
active force control
objective genetic algorithm
title_short A Multi-objective, active fuzzy force controller in control of flexible wiper system
title_full A Multi-objective, active fuzzy force controller in control of flexible wiper system
title_fullStr A Multi-objective, active fuzzy force controller in control of flexible wiper system
title_full_unstemmed A Multi-objective, active fuzzy force controller in control of flexible wiper system
title_sort A Multi-objective, active fuzzy force controller in control of flexible wiper system
author Zolfagharian,Ali
author_facet Zolfagharian,Ali
Ghasemi,Seyed Ebrahim
Imani,Misagh
author_role author
author2 Ghasemi,Seyed Ebrahim
Imani,Misagh
author2_role author
author
dc.contributor.author.fl_str_mv Zolfagharian,Ali
Ghasemi,Seyed Ebrahim
Imani,Misagh
dc.subject.por.fl_str_mv Automotive wiper
system identification
fuzzy logic
active force control
objective genetic algorithm
topic Automotive wiper
system identification
fuzzy logic
active force control
objective genetic algorithm
description Chaotic vibration has been identified in the flexible automotive wiper blade at certain wiping speeds. This irregular vibration not only decreases the wiping efficiency, but also degrades the driving comfort. A reliable nonlinear system identification namely nonlinear auto regressive exogenous Elman neural network (NARXENN) was adopted in first stage of this survey to model the flexible dynamics of wiper blade with acquired experimental data. In controller design part, taking into account environmental and external disturbances that cause changes in the dynamic characteristics of the system demanded a robust controller to make a trade off between the worst and best scenario. An active fuzzy force controller (AFLC) supervised by multi objective genetic algorithm (MOGA) is developed to keep both interests of noise and vibration redaction of automobile wiper blade at the reasonable rise time.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01
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=S1679-78252014000900002
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252014000900002
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1679-78252014000900002
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 Associação Brasileira de Ciências Mecânicas
publisher.none.fl_str_mv Associação Brasileira de Ciências Mecânicas
dc.source.none.fl_str_mv Latin American Journal of Solids and Structures v.11 n.9 2014
reponame:Latin American journal of solids and structures (Online)
instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
instacron:ABCM
instname_str Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
instacron_str ABCM
institution ABCM
reponame_str Latin American journal of solids and structures (Online)
collection Latin American journal of solids and structures (Online)
repository.name.fl_str_mv Latin American journal of solids and structures (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
repository.mail.fl_str_mv abcm@abcm.org.br||maralves@usp.br
_version_ 1754302887646724096