DocumentCode
2898836
Title
Decentralized controller analysis and design for multi-evaporator vapor compression systems
Author
Koeln, Justin P. ; Alleyne, Andrew G.
Author_Institution
Mech. Sci. & Eng. Dept., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear
2013
fDate
17-19 June 2013
Firstpage
437
Lastpage
442
Abstract
The high degree of coupling in multi-evaporator vapor compression systems (ME-VCSs) makes independent control of the cooling capacity for each evaporator difficult. This paper examines the sources of coupling in these systems and the importance of this coupling when making control decisions. Structured singular value (SSV) analysis is used to quantify the degree of coupling in relation to the diagonal dominance of these systems. A 5-evaporator system model is used to demonstrate this analysis and shows that these systems are not diagonally dominant, suggesting poor decentralized control performance when individually controlling both cooling capacity and superheat. However, SSV analysis is used to show that decentralized control is capable of controlling cooling capacity if superheat is not included in the feedback. Both centralized and decentralized model predictive control (MPC) architectures were developed to verify the findings of the SSV analysis.
Keywords
centralised control; compressors; control system analysis; control system synthesis; cooling; decentralised control; predictive control; singular value decomposition; 5-evaporator system model; ME-VCS; MPC; SSV analysis; centralized model predictive control architectures; decentralized controller analysis; decentralized controller design; decentralized model predictive control architectures; independent cooling capacity control; multievaporator vapor compression systems; structured singular value analysis; superheat control; Apertures; Couplings; Decentralized control; Mathematical model; Periodic structures; Refrigerants;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2013
Conference_Location
Washington, DC
ISSN
0743-1619
Print_ISBN
978-1-4799-0177-7
Type
conf
DOI
10.1109/ACC.2013.6579876
Filename
6579876
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