A model-based predictive supervisory controller for multi-evaporator HVAC systems

Multi-evaporator vapor compression cooling systems are representative of the complex, distributed nature of modern HVAC systems. Earlier research efforts focused on the development of a decentralized control architecture for individual evaporators that exploits the constraint-handling capabilities o...

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Bibliographic Details
Published in2009 American Control Conference pp. 3669 - 3674
Main Authors Elliott, M.S., Rasmussen, B.P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2009
Subjects
Control systems
Cooling
Cost function
Energy consumption
Mechanical engineering
Optimal control
Predictive control
Predictive models
Pressure control
Temperature control
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Summary:Multi-evaporator vapor compression cooling systems are representative of the complex, distributed nature of modern HVAC systems. Earlier research efforts focused on the development of a decentralized control architecture for individual evaporators that exploits the constraint-handling capabilities of model predictive control while regulating the pressure and cooling setpoints. This paper presents a global controller that generates the setpoints for the local controllers; this controller balances the goals of cooling zone temperature tracking with optimal energy consumption. To accommodate the inherent limitations of the system, a model predictive control (MPC) based approach is used. The improved efficiency and the effects of the tuning parameters are demonstrated upon an experimental system.
ISBN:142444523X
9781424445233
ISSN:0743-1619
2378-5861
DOI:10.1109/ACC.2009.5160498