Theory and applications of HVAC control systems - A review of model predictive control (MPC)

被引:882
作者
Afram, Abdul [1 ]
Janabi-Sharifi, Farrokh [1 ]
机构
[1] Ryerson Univ, Dept Mech & Ind Engn, Toronto, ON M5B 2K3, Canada
关键词
Model predictive control (MPC); HVAC control review; Theory; Applications; Performance; Comparison; BUILDING THERMAL STORAGE; REINFORCEMENT LEARNING CONTROL; AIR-CONDITIONING SYSTEM; ARTIFICIAL-INTELLIGENCE; ADAPTIVE CONTROLLER; NEURAL-NETWORKS; PI-CONTROLLER; ENERGY; OPTIMIZATION; STRATEGIES;
D O I
10.1016/j.buildenv.2013.11.016
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This work presents a literature review of control methods, with an emphasis on the theory and applications of model predictive control (MPC) for heating, ventilation, and air conditioning (HVAC) systems. Several control methods used for HVAC control are identified from the literature review, and a brief survey of each method is presented. Next, the performance of MPC is compared with that of other control approaches. Factors affecting MPC performance (including control configuration, process type, model, optimization technique, prediction horizon, control horizon, constraints, and cost function) are elaborated using specific examples from the literature. The gaps in MPC research are identified, and future directions are highlighted. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:343 / 355
页数:13
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