A Model-Based Predictive Supervisory Controller for Multi-Evaporator HVAC Systems Conference Paper

abstract

• 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. 2009 AACC.

name of conference

• 2009 American Control Conference

authors

• Rasmussen, Bryan

published proceedings

• 2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9

author list (cited authors)

• Elliott, M. S., & Rasmussen, B. P.

citation count

• 18

complete list of authors

• Elliott, Matthew S||Rasmussen, Bryan P

publication date

• January 2009

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings of the ... American Control Conference. American Control Conference  Journal

keywords

• 40 Engineering
• 4007 Control Engineering, Mechatronics And Robotics
• 4010 Engineering Practice And Education
• 7 Affordable And Clean Energy

Digital Object Identifier (DOI)

• 10.1109/ACC.2009.5160498

International Standard Book Number (ISBN) 13

• 978-1-4244-4523-3

start page

• 3669

end page

• +

URL

• http://dx.doi.org/10.1109/acc.2009.5160498

user-defined tag

• 7 Affordable and Clean Energy