摘要
随着先进绿色技术与系统的应用推广,模型预测控制作为一种前馈控制方法,在暖通空调领域逐步得到重视,以弥补传统控制方法的不足。为了充分了解模型预测控制已有的研究成果并开展更深入的研究,本文对暖通空调领域模型预测控制技术的国内外研究现状进行了分析总结。首先,本文阐述了暖通空调领域应用模型预测控制的意义,阐明了模型预测控制的基本概念及其特点;其次,对比分析了白箱模型、灰箱模型和黑箱模型3种预测模型建立方法的优缺点,探讨了模型预测控制中常用的优化算法,综合分析了模型预测控制在模拟仿真研究和实验测试研究的应用效果;最后,指出现有研究的不足,提出未来暖通空调领域模型预测控制研究应积极探索预测模型建立的新方法,并加强模型预测控制的实际应用效果分析。
With the application and popularization of advanced green technologies and systems,model predictive control,as a feedforward control method,has received increasing attention in the field of HVAC to make up for the deficiency of traditional control methods.In order to fully understand the existing research results in this field and carry out further exploration and application research,this paper analyzed and summarized the domestic and foreign researches of model predictive control technology in HVAC.First,this paper expounded the significance of the application of model predictive control in HVAC,and introduced the basic concept and characteristics of model predictive control.Then,the white box model,gray box model and black box model were compared and analyzed.The optimization algorithm used in model predictive control was discussed,and the application effect of model predictive control in simulation research and field measurement research was comprehensively analyzed.Then,this paper further pointed out the deficiency of the existing research,and proposed that the research of model predictive control of HVAC in the future should focus on exploring new methods of model building and analyzing the actual application results of model predictive control.
作者
王丹
逄秀锋
王伟
WANG Dan;PANG Xiufeng;WANG Wei(Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology,Beijing University of Technology,Beijing 100124,China;China Academy of Building Research,Beijing 100013,China)
出处
《建筑科学》
CSCD
北大核心
2021年第12期111-119,130,共10页
Building Science
基金
国家重点研发计划子课题“基于多目标的绿色建筑动态前馈控制技术研究”(2018YFC0705903-03)
北京市优秀人才培养资助青年拔尖团队项目(2017000026833TD02)。
关键词
暖通空调
模型预测控制
建模方法
优化算法
应用效果分析
HVAC
model predictive control
modelling method
optimization algorithm
application result analysis