Black-box modeling and adaptive control of hybrid thermoelectric refrigerator systems

Vaccines carrier has been used to keep the temperature within 2–8°C. However, a poorly functioning vaccines carrier may expose the vaccines to freezing temperatures. Hybrid Thermoelectric Refrigerator (H-TER) systems are developed in order to transport sensitive vaccines to hospitals at accurate...

Full description

Saved in:

Bibliographic Details
Format:	Thesis
Language:	English
Subjects:	Thermoelectric cooling Hybrid Thermoelectric Refrigerator (H-TER) Vaccines carrier
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77898/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77898/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77898/4/Mohd%20Saifizi.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-unimap-77898
record_format	uketd_dc
spelling	my-unimap-778982023-02-21T06:59:19Z Black-box modeling and adaptive control of hybrid thermoelectric refrigerator systems Wan Khairunizam, Wan Ahmad, Assoc. Prof. Dr. Vaccines carrier has been used to keep the temperature within 2–8°C. However, a poorly functioning vaccines carrier may expose the vaccines to freezing temperatures. Hybrid Thermoelectric Refrigerator (H-TER) systems are developed in order to transport sensitive vaccines to hospitals at accurate controlled temperature. The refrigerator use air-to-air and direct thermoelectric heat pumps. This work reports on modeling and control studies carried out for H-TER systems that can control low temperature accurately. Different type of material containers (aluminium and stainless steel) is used and comparisons between them are analyzed. The systems are nonlinear and exhibits varying model parameters and dead-time. The objective of the study is to investigate control strategies that are based on non-priori plant knowledge and yet allowing for continuous adaptations of the controller to changing system dynamics. In fact, the various cooling load also causes a reduction of refrigerator efficiency including the fluctuation of imposed current level due to electronic component performance and varied operating condition of thermoelectric module on cold and hot ends against time. Thus an adaptive control system is considered to handle the problems that are stipulated above. A black box modeling approach is chosen since this is needed for the implementation of adaptive controllers. The H-TER systems have been identified using both Recursive Least Squares (RLS) and Recursive Extended Least Squares (RELS) methods. Since RELS has shown to give biased estimates for filtered data and slow convergence estimates for unfiltered data, RLS has been chosen for the model as its give a better representation of the systems. A second order model of H-TER I and HTER II systems are found to adequately represent the system as it give best fit of 0.0009 and 0.0007 respectively which made the fourth order to be insignificant for implementation. Validation procedures using second order model for online estimation, show that the model is indeed a good representation of the H-TER systems. On-Off and PI controllers are the commonly used in thermoelectric system is applied to this system as case studies. PI controller shows better performance over On-Off controller in term of steady state error. Universiti Malaysia Perlis (UniMAP) Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77898 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77898/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77898/1/Page%201-24.pdf 42e013d5ca616b926e94429d9afdc7ca http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77898/2/Full%20text.pdf acedfd9001a3502bdfc680c2624b9cd8 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77898/4/Mohd%20Saifizi.pdf 07e72f586bd4f2f94ad4180901827aae Universiti Malaysia Perlis (UniMAP) Thermoelectric cooling Hybrid Thermoelectric Refrigerator (H-TER) Vaccines carrier School of Mechatronic Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
advisor	Wan Khairunizam, Wan Ahmad, Assoc. Prof. Dr.
topic	Thermoelectric cooling Hybrid Thermoelectric Refrigerator (H-TER) Vaccines carrier
spellingShingle	Thermoelectric cooling Hybrid Thermoelectric Refrigerator (H-TER) Vaccines carrier Black-box modeling and adaptive control of hybrid thermoelectric refrigerator systems
description	Vaccines carrier has been used to keep the temperature within 2–8°C. However, a poorly functioning vaccines carrier may expose the vaccines to freezing temperatures. Hybrid Thermoelectric Refrigerator (H-TER) systems are developed in order to transport sensitive vaccines to hospitals at accurate controlled temperature. The refrigerator use air-to-air and direct thermoelectric heat pumps. This work reports on modeling and control studies carried out for H-TER systems that can control low temperature accurately. Different type of material containers (aluminium and stainless steel) is used and comparisons between them are analyzed. The systems are nonlinear and exhibits varying model parameters and dead-time. The objective of the study is to investigate control strategies that are based on non-priori plant knowledge and yet allowing for continuous adaptations of the controller to changing system dynamics. In fact, the various cooling load also causes a reduction of refrigerator efficiency including the fluctuation of imposed current level due to electronic component performance and varied operating condition of thermoelectric module on cold and hot ends against time. Thus an adaptive control system is considered to handle the problems that are stipulated above. A black box modeling approach is chosen since this is needed for the implementation of adaptive controllers. The H-TER systems have been identified using both Recursive Least Squares (RLS) and Recursive Extended Least Squares (RELS) methods. Since RELS has shown to give biased estimates for filtered data and slow convergence estimates for unfiltered data, RLS has been chosen for the model as its give a better representation of the systems. A second order model of H-TER I and HTER II systems are found to adequately represent the system as it give best fit of 0.0009 and 0.0007 respectively which made the fourth order to be insignificant for implementation. Validation procedures using second order model for online estimation, show that the model is indeed a good representation of the H-TER systems. On-Off and PI controllers are the commonly used in thermoelectric system is applied to this system as case studies. PI controller shows better performance over On-Off controller in term of steady state error.
format	Thesis
title	Black-box modeling and adaptive control of hybrid thermoelectric refrigerator systems
title_short	Black-box modeling and adaptive control of hybrid thermoelectric refrigerator systems
title_full	Black-box modeling and adaptive control of hybrid thermoelectric refrigerator systems
title_fullStr	Black-box modeling and adaptive control of hybrid thermoelectric refrigerator systems
title_full_unstemmed	Black-box modeling and adaptive control of hybrid thermoelectric refrigerator systems
title_sort	black-box modeling and adaptive control of hybrid thermoelectric refrigerator systems
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Mechatronic Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77898/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77898/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77898/4/Mohd%20Saifizi.pdf
_version_	1776104252384477184

Black-box modeling and adaptive control of hybrid thermoelectric refrigerator systems

Similar Items