Multivariable fuzzy control with its applications in multi-evaporator refrigeration systems

Multi–evaporator refrigeration (MER) system is a cost–effective device for a building with different cooling requirements because it is comprised of a single compressor and a single condenser but multiple evaporators each operating at a specified temperature to simultaneously cater to different cool...

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Main Author: Liao, Qianfang
Other Authors: Cai Wenjian
Format: Theses and Dissertations
Language:English
Published: 2015
Subjects:
Online Access:https://hdl.handle.net/10356/62928
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-629282023-07-04T15:27:46Z Multivariable fuzzy control with its applications in multi-evaporator refrigeration systems Liao, Qianfang Cai Wenjian Wang Youyi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Multi–evaporator refrigeration (MER) system is a cost–effective device for a building with different cooling requirements because it is comprised of a single compressor and a single condenser but multiple evaporators each operating at a specified temperature to simultaneously cater to different cooling loads such that the efficiency can be improved and the economic cost can be reduced. Compared with a single–evaporator refrigeration system, an MER system is more difficult to control due to its complex structure with cross–coupling effects among different evaporators. This thesis presents a series of novel Type–1 and Type–2 Takagi–Sugeno (T–S) fuzzy model based studies for multivariable process control to manipulate MER systems, including 1) loop pairing based on both Type-1 and Type-2 T-S fuzzy models to determine a control configuration for decentralized control; 2) Type-1 and Type-2 Effective T-S fuzzy model (ETSM) to describe the interactions among control-loops to facilitate decentralized controller designs; 3) sparse control structure selection and ETSM based sparse controller design to handle the interactions when the decentralized control may not provide satisfied performance. Finally, the proposed methods are applied on an experimental MER system to validate their practicality and effectiveness. DOCTOR OF PHILOSOPHY (EEE) 2015-05-04T02:41:48Z 2015-05-04T02:41:48Z 2015 2015 Thesis Liao, Q. (2015). Multivariable fuzzy control with its applications in multi-evaporator refrigeration systems. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/62928 10.32657/10356/62928 en 131 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Liao, Qianfang
Multivariable fuzzy control with its applications in multi-evaporator refrigeration systems
description Multi–evaporator refrigeration (MER) system is a cost–effective device for a building with different cooling requirements because it is comprised of a single compressor and a single condenser but multiple evaporators each operating at a specified temperature to simultaneously cater to different cooling loads such that the efficiency can be improved and the economic cost can be reduced. Compared with a single–evaporator refrigeration system, an MER system is more difficult to control due to its complex structure with cross–coupling effects among different evaporators. This thesis presents a series of novel Type–1 and Type–2 Takagi–Sugeno (T–S) fuzzy model based studies for multivariable process control to manipulate MER systems, including 1) loop pairing based on both Type-1 and Type-2 T-S fuzzy models to determine a control configuration for decentralized control; 2) Type-1 and Type-2 Effective T-S fuzzy model (ETSM) to describe the interactions among control-loops to facilitate decentralized controller designs; 3) sparse control structure selection and ETSM based sparse controller design to handle the interactions when the decentralized control may not provide satisfied performance. Finally, the proposed methods are applied on an experimental MER system to validate their practicality and effectiveness.
author2 Cai Wenjian
author_facet Cai Wenjian
Liao, Qianfang
format Theses and Dissertations
author Liao, Qianfang
author_sort Liao, Qianfang
title Multivariable fuzzy control with its applications in multi-evaporator refrigeration systems
title_short Multivariable fuzzy control with its applications in multi-evaporator refrigeration systems
title_full Multivariable fuzzy control with its applications in multi-evaporator refrigeration systems
title_fullStr Multivariable fuzzy control with its applications in multi-evaporator refrigeration systems
title_full_unstemmed Multivariable fuzzy control with its applications in multi-evaporator refrigeration systems
title_sort multivariable fuzzy control with its applications in multi-evaporator refrigeration systems
publishDate 2015
url https://hdl.handle.net/10356/62928
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