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ACRC Technical Report 247PDF


Title:Dynamic Modeling, Control, and Fault Detection in Vapor Compression Systems
Author(s):Keir, M.C.; Alleyne, Andrew G.
Subject(s):fault detection
vapor compressor systems
Abstract:According to the US Department of Energy (, air conditioning and refrigeration (AC&R) applications account for approximately one third of the total electrical use in US homes and commercial buildings. The massive energy consumption of AC&R systems provides both economic and environmental motivation to develop highly efficient systems that maintain operating efficiency through the use of online diagnostic modules. Recent developments in actuator technologies (i.e. variable speed and variable displacement compressors, electronic expansion valves) managed by proper control architectures can capitalize on the efficiency gains obtained through continuous system operation, enabling significant efficiency gains to be realized in vapor compression systems. The addition of fault detection and diagnosis (FDD) algorithms to the overall control architecture provides the capability to maintain a high level of system performance over its lifetime of operation. This thesis makes contributions to both the effective transient control and diagnostic capability of vapor compression systems. Accurate control-oriented models that balance simplicity and accuracy are leveraged to improve the understanding of system level fault impact. The general control architecture for vapor compression systems is analyzed from a design perspective, and effective methods to achieve improved system performance and capacity control are demonstrated. Additionally, a discussion of the presence of dynamic fault signatures that may enable improved detection and identification is presented for a subset of system faults.
Issue Date:2006-08
Publisher:Air Conditioning and Refrigeration Center. College of Engineering. University of Illinois at Urbana-Champaign.
Series/Report:Air Conditioning and Refrigeration Center TR-247
Genre:Technical Report
Sponsor:Air Conditioning and Refrigeration Project 170
Date Available in IDEALS:2009-06-24

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