Application of adaptive control in a refrigeration system to improve performance

Bibliographic Details
Main Author: Bandarra Filho,Enio Pedone
Publication Date: 2011
Other Authors: Garcia,Francisco E. Moreno, Mendoza,Oscar S. Hernandez
Format: Article
Language: eng
Source: Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)
Download full: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-58782011000200008
Summary: This paper reports an experimental investigation using adaptive control in a refrigeration system. This system is composed basically of a semi-hermetic compressor, concentric tubes heat exchangers, the condenser and evaporator, and thermostatic expansion valve (TXV). The refrigerant used in the refrigeration system was the HCFC-22 and also an AC frequency inverter was used to control the speed of the compressor. The temperatures were measured by PT-100 sensors and the pressures using piezoresistive pressure transducers. Data acquisition was implemented using the Labview software. An electronic card with analogical signal output was also used. These analogical signals were converted into digital through a Programmable Logic Controller (PLC) and then sent to the computer through a PC serial port. Tests were performed with a variable speed compressor in the range from 30 to 70 Hz and the experimental results showed that the highest performance (COP) was attained by working in the range of 50 Hz, using adaptive fuzzy control.
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spelling Application of adaptive control in a refrigeration system to improve performanceRefrigeration systemcontrolfuzzyadaptivecoefficient of performanceThis paper reports an experimental investigation using adaptive control in a refrigeration system. This system is composed basically of a semi-hermetic compressor, concentric tubes heat exchangers, the condenser and evaporator, and thermostatic expansion valve (TXV). The refrigerant used in the refrigeration system was the HCFC-22 and also an AC frequency inverter was used to control the speed of the compressor. The temperatures were measured by PT-100 sensors and the pressures using piezoresistive pressure transducers. Data acquisition was implemented using the Labview software. An electronic card with analogical signal output was also used. These analogical signals were converted into digital through a Programmable Logic Controller (PLC) and then sent to the computer through a PC serial port. Tests were performed with a variable speed compressor in the range from 30 to 70 Hz and the experimental results showed that the highest performance (COP) was attained by working in the range of 50 Hz, using adaptive fuzzy control.Associação Brasileira de Engenharia e Ciências Mecânicas - ABCM2011-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-58782011000200008Journal of the Brazilian Society of Mechanical Sciences and Engineering v.33 n.2 2011reponame:Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)instacron:ABCM10.1590/S1678-58782011000200008info:eu-repo/semantics/openAccessBandarra Filho,Enio PedoneGarcia,Francisco E. MorenoMendoza,Oscar S. Hernandezeng2011-08-31T00:00:00Zoai:scielo:S1678-58782011000200008Revistahttps://www.scielo.br/j/jbsmse/https://old.scielo.br/oai/scielo-oai.php||abcm@abcm.org.br1806-36911678-5878opendoar:2011-08-31T00:00Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)false
dc.title.none.fl_str_mv Application of adaptive control in a refrigeration system to improve performance
title Application of adaptive control in a refrigeration system to improve performance
spellingShingle Application of adaptive control in a refrigeration system to improve performance
Bandarra Filho,Enio Pedone
Refrigeration system
control
fuzzy
adaptive
coefficient of performance
title_short Application of adaptive control in a refrigeration system to improve performance
title_full Application of adaptive control in a refrigeration system to improve performance
title_fullStr Application of adaptive control in a refrigeration system to improve performance
title_full_unstemmed Application of adaptive control in a refrigeration system to improve performance
title_sort Application of adaptive control in a refrigeration system to improve performance
author Bandarra Filho,Enio Pedone
author_facet Bandarra Filho,Enio Pedone
Garcia,Francisco E. Moreno
Mendoza,Oscar S. Hernandez
author_role author
author2 Garcia,Francisco E. Moreno
Mendoza,Oscar S. Hernandez
author2_role author
author
dc.contributor.author.fl_str_mv Bandarra Filho,Enio Pedone
Garcia,Francisco E. Moreno
Mendoza,Oscar S. Hernandez
dc.subject.por.fl_str_mv Refrigeration system
control
fuzzy
adaptive
coefficient of performance
topic Refrigeration system
control
fuzzy
adaptive
coefficient of performance
description This paper reports an experimental investigation using adaptive control in a refrigeration system. This system is composed basically of a semi-hermetic compressor, concentric tubes heat exchangers, the condenser and evaporator, and thermostatic expansion valve (TXV). The refrigerant used in the refrigeration system was the HCFC-22 and also an AC frequency inverter was used to control the speed of the compressor. The temperatures were measured by PT-100 sensors and the pressures using piezoresistive pressure transducers. Data acquisition was implemented using the Labview software. An electronic card with analogical signal output was also used. These analogical signals were converted into digital through a Programmable Logic Controller (PLC) and then sent to the computer through a PC serial port. Tests were performed with a variable speed compressor in the range from 30 to 70 Hz and the experimental results showed that the highest performance (COP) was attained by working in the range of 50 Hz, using adaptive fuzzy control.
publishDate 2011
dc.date.none.fl_str_mv 2011-06-01
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=S1678-58782011000200008
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-58782011000200008
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1678-58782011000200008
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 Engenharia e Ciências Mecânicas - ABCM
publisher.none.fl_str_mv Associação Brasileira de Engenharia e Ciências Mecânicas - ABCM
dc.source.none.fl_str_mv Journal of the Brazilian Society of Mechanical Sciences and Engineering v.33 n.2 2011
reponame:Journal of the Brazilian Society of Mechanical Sciences and Engineering (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 Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)
collection Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)
repository.name.fl_str_mv Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
repository.mail.fl_str_mv ||abcm@abcm.org.br
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