Energy Efficient Predictive Control for Vapor Compression Refrigeration Cycle Systems  

作　　者：Xiaohong Yin Shaoyuan Li Xiaohong Yin;Shaoyuan Li

机构地区：[1]the School of Automation and Electronic Engineering,Qingdao University of Science and Technology,Qingdao 266042,China [2]the Department of Automation,Shanghai Jiao Tong University,and the Key Laboratory of System Control and Information Processing,Ministry of Education of China,Shanghai 200240,China

出　　处：《IEEE/CAA Journal of Automatica Sinica》2018年第5期953-960,共8页自动化学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(61233004,61221003,61374109,61473184,61703223,61703238);the National Basic Research Program of China(973 Program)(2013CB035500);Shandong Provincial Natural Science Foundation of China(ZR2017BF014,ZR2017MF017);the National Research Foundation of Singapore(NRF-2011,NRF-CRP001-090)

摘　　要：Abstract--Vapor compression refrigeration cycle （VCC） system is a high dimensional coupling thermodynamic system for which the controller design is a great challenge. In this paper, a model predictive control based energy efficient control strategy which aims at maximizing the system efficiency is proposed. Firstly, according to the mass and energy conservation law, an analysis on the nonlinear relationship between superheat and cooling load is carried out, which can produce the maximal effect on the system performance. Then a model predictive control （MPC） based controller is developed for tracking the calculated setting curve of superheat degree and pressure difference based on model identified from data which can be obtained from an experimental rig. The proposed control strategy maximizes the coefficient of performance （COP） which depends on operating conditions, in the meantime, it meets the changing demands of cooling capacity. The effectiveness of the control performance is validated on the experimental rig. Index Terms--Cooling load, model predictive control （MPC）, superheat, vapor compression refrigeration cycle （VCC）.Vapor compression refrigeration cycle(VCC) system is a high dimensional coupling thermodynamic system for which the controller design is a great challenge. In this paper, a model predictive control based energy efficient control strategy which aims at maximizing the system efficiency is proposed. Firstly,according to the mass and energy conservation law, an analysis on the nonlinear relationship between superheat and cooling load is carried out, which can produce the maximal effect on the system performance. Then a model predictive control(MPC)based controller is developed for tracking the calculated setting curve of superheat degree and pressure difference based on model identified from data which can be obtained from an experimental rig. The proposed control strategy maximizes the coefficient of performance(COP) which depends on operating conditions, in the meantime, it meets the changing demands of cooling capacity.The effectiveness of the control performance is validated on the experimental rig.

关 键 词：Cooling load model predictive control(MPC) SUPERHEAT vapor compression refrigeration cycle(VCC) 

分 类 号：TP2[自动化与计算机技术—检测技术与自动化装置]