Decentralized model predictive control of a multi-evaporator air conditioning system Academic Article

abstract

• Temperature control of multiple zones with a multi-evaporator vapor compression system is a common problem in modern air conditioning. Due to the coupled system dynamics, standard decoupled controllers can interfere with each unit's performance. This paper proposes an architecture that is decentralized and modular, avoiding competing controllers and the practical difficulty of implementing a centralized controller. A model predictive control (MPC) supervisor calculates evaporator cooling and pressure setpoints for each zone, balancing temperature regulation with energy efficiency; these setpoints are tracked by local level controllers, which rely upon MPC's ability to respect constraints in order to maintain safe, efficient operation. 2013 Elsevier Ltd.

authors

• Rasmussen, Bryan

published proceedings

• CONTROL ENGINEERING PRACTICE

author list (cited authors)

• Elliott, M. S., & Rasmussen, B. P.

citation count

• 45

complete list of authors

• Elliott, Matthew S||Rasmussen, Bryan P

publication date

• January 2013

publisher

• Elsevier  Publisher

published in

• Control Engineering Practice  Journal

keywords

• Architectures
• Decentralized Control
• Efficiency
• Multiobjective Optimizations
• Predictive Control

Digital Object Identifier (DOI)

• 10.1016/j.conengprac.2013.08.010

start page

• 1665

end page

• 1677

volume

• 21

issue

• 12

URL

• http://dx.doi.org/10.1016/j.conengprac.2013.08.010

user-defined tag

• 7 Affordable and Clean Energy