Self-Learning Optimal Control for Ice-Storage Air Conditioning Systems via Data-Based Adaptive Dynamic Programming
Wei, Qinglai1,2,3; Liao, Zehua1,2,3; Song, Ruizhuo4; Zhang, Pinjia5; Wang, Zhuo6,7,8,9; Xiao, Jun2
Source PublicationIEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
ISSN0278-0046
2021-04-01
Volume68Issue:4Pages:3599-3608
Abstract

In this article, the optimal control scheme for ice-storage air conditioning (IAC) system is solved via a data-based adaptive dynamic programming (ADP) method. It is the first time that ADP is employed to design a self-learning scheme, which obtains the optimal control policy of IAC system. First, based on the data of the temperature, irradiance, and cooling load in an actual project, a prediction model of cooling load is built by a three-layer neural network with the performance verification. Second, the operation of the IAC system is analyzed. Third, a data-based ADP method is designed to realize a self-learning optimal control for the IAC system. Then, numerical results show that using the data-based optimal control method can reduce the operation costs. Finally, the comparison results show that the developed ADP method improves the system efficiency, minimizing the overall cost. Thus, the superiority of the developed algorithm is verified.

KeywordOptimal control Air conditioning Load modeling Neural networks Dynamic programming Predictive models Adaptive dynamic programming (ADP) cooling load prediction ice-storage air conditioning (IAC) neural network optimal control
DOI10.1109/TIE.2020.2978699
WOS KeywordLOAD PREDICTION ; PERFORMANCE ; NETWORKS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[51822705] ; National Natural Science Foundation of China[61873300] ; National Natural Science Foundation of China[61722312] ; National Natural Science Foundation of China[61673041] ; National Natural Science Foundation of China[61533017] ; Fundamental Research Funds for the Central Universities[FRF-BD-19-002 A] ; Fundamental Research Funds for the Central Universities[Y18G34]
Funding OrganizationNational Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities
WOS Research AreaAutomation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS IDWOS:000599525100079
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Sub direction classification智能控制
planning direction of the national heavy laboratory复杂系统建模与推演
Paper associated data
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/42747
Collection多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
Corresponding AuthorWei, Qinglai; Zhang, Pinjia; Xiao, Jun
Affiliation1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China
4.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
5.Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
6.Beihang Univ, Res Inst Frontier Sci, Beijing 100191, Peoples R China
7.Beihang Univ, Key Lab Minist Ind & Informat Technol Quantum Sen, Beijing 100191, Peoples R China
8.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing 100191, Peoples R China
9.Beijing Acad Quantum Informat Sci, Beijing 100193, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Wei, Qinglai,Liao, Zehua,Song, Ruizhuo,et al. Self-Learning Optimal Control for Ice-Storage Air Conditioning Systems via Data-Based Adaptive Dynamic Programming[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2021,68(4):3599-3608.
APA Wei, Qinglai,Liao, Zehua,Song, Ruizhuo,Zhang, Pinjia,Wang, Zhuo,&Xiao, Jun.(2021).Self-Learning Optimal Control for Ice-Storage Air Conditioning Systems via Data-Based Adaptive Dynamic Programming.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,68(4),3599-3608.
MLA Wei, Qinglai,et al."Self-Learning Optimal Control for Ice-Storage Air Conditioning Systems via Data-Based Adaptive Dynamic Programming".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 68.4(2021):3599-3608.
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