Application of adaptive control in a refrigeration system to improve performance
| Main Author: | |
|---|---|
| Publication Date: | 2011 |
| Other Authors: | , |
| 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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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 |
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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 |
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openAccess |
| dc.format.none.fl_str_mv |
text/html |
| dc.publisher.none.fl_str_mv |
Associação Brasileira de Engenharia e Ciências Mecânicas - ABCM |
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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 |
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Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM) |
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ABCM |
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ABCM |
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Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online) |
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Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online) |
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Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM) |
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