Modeling and Fuzzy Control of Modern Refrigeration System

A Master of Science thesis in Mechatronics Engineering by Sayyed Hesam Pour Afzali entitled, "Modeling and Fuzzy Control of Modern Refrigeration System," submitted in June 2014. Thesis advisor is Dr. Ali A. Jhemi. Available are both soft and hard copies of the thesis.

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Afzali, Sayyed Hesam Pour (author)
التنسيق: doctoralThesis
منشور في: 2014
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/11073/7513
الوسوم: إضافة وسم
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author Afzali, Sayyed Hesam Pour
author_facet Afzali, Sayyed Hesam Pour
author_role author
dc.contributor.none.fl_str_mv Jhemi, Ali
dc.creator.none.fl_str_mv Afzali, Sayyed Hesam Pour
dc.date.none.fl_str_mv 2014-09-21T08:45:14Z
2014-09-21T08:45:14Z
2014-06
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2014.19
http://hdl.handle.net/11073/7513
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv refrigeration system
fuzzy controller
PID controller
variable speed drive
on-off controller
vapor compression cycle model
Refrigeration and refrigerating machinery
Fuzzy systems
dc.title.none.fl_str_mv Modeling and Fuzzy Control of Modern Refrigeration System
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Mechatronics Engineering by Sayyed Hesam Pour Afzali entitled, "Modeling and Fuzzy Control of Modern Refrigeration System," submitted in June 2014. Thesis advisor is Dr. Ali A. Jhemi. Available are both soft and hard copies of the thesis.
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network_acronym_str aus
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oai_identifier_str oai:repository.aus.edu:11073/7513
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spelling Modeling and Fuzzy Control of Modern Refrigeration SystemAfzali, Sayyed Hesam Pourrefrigeration systemfuzzy controllerPID controllervariable speed driveon-off controllervapor compression cycle modelRefrigeration and refrigerating machineryFuzzy systemsA Master of Science thesis in Mechatronics Engineering by Sayyed Hesam Pour Afzali entitled, "Modeling and Fuzzy Control of Modern Refrigeration System," submitted in June 2014. Thesis advisor is Dr. Ali A. Jhemi. Available are both soft and hard copies of the thesis.Current typical refrigeration systems work with on-off controllers in each of their components and their expansion valves are regulated mechanically which is quite inefficient. This issue resides in the core design of the system which is based on the maximum possible load. This leads to high power consumption, low performance and an inability to precisely maintain the required temperature. In addition, this leads to a high number of on-off cycles and a high maintenance cost. Refrigeration cycles are highly dynamic and non-linear and moreover difficult to control. Due to this reason, this thesis focuses on a new control design that leads to precise temperature control. This design reduces power consumption and saves energy using fuzzy-PID controllers and variable speed drives. Different components such as compressors and heat exchangers are controlled and mechanical expansion valves are replaced with electronic units. The simplified model has been derived for refrigeration systems with vapor compression cycle, semi hermetic reciprocating compressor, direct expansion (DX) evaporator and air-cooled condenser. The refrigerant fluid used in the model is R-22. This model was validated and tested using experimental data acquired from a refrigeration system running in the field with the same proposed components. The onoff and fuzzy-PID controllers are simulated and the results are compared to demonstrate the efficiency and power-saving capability of the proposed system using a fuzzy-PID Controller.College of EngineeringMultidisciplinary ProgramsMaster of Science in Mechatronics Engineering (MSMTR)Jhemi, Ali2014-09-21T08:45:14Z2014-09-21T08:45:14Z2014-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2014.19http://hdl.handle.net/11073/7513en_USoai:repository.aus.edu:11073/75132025-06-26T12:34:28Z
spellingShingle Modeling and Fuzzy Control of Modern Refrigeration System
Afzali, Sayyed Hesam Pour
refrigeration system
fuzzy controller
PID controller
variable speed drive
on-off controller
vapor compression cycle model
Refrigeration and refrigerating machinery
Fuzzy systems
status_str publishedVersion
title Modeling and Fuzzy Control of Modern Refrigeration System
title_full Modeling and Fuzzy Control of Modern Refrigeration System
title_fullStr Modeling and Fuzzy Control of Modern Refrigeration System
title_full_unstemmed Modeling and Fuzzy Control of Modern Refrigeration System
title_short Modeling and Fuzzy Control of Modern Refrigeration System
title_sort Modeling and Fuzzy Control of Modern Refrigeration System
topic refrigeration system
fuzzy controller
PID controller
variable speed drive
on-off controller
vapor compression cycle model
Refrigeration and refrigerating machinery
Fuzzy systems
url http://hdl.handle.net/11073/7513