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

被引：22

作者：

Elliott, Matthew S. ^{[1
]}

Rasmussen, Bryan P. ^{[1
]}

机构：

[1] Texas A&M Univ, Dept Mech Engn, College Stn, TX 77843 USA

来源：

2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9 | 2009年

关键词：

AIR-CONDITIONER; CYCLE;

D O I：

10.1109/ACC.2009.5160498

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：3669 / +

页数：2

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