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Parallel Adaptive Critic Designs of Optimal Control for Ice-Storage Air Conditioning Systems
Zehua Liao1; Qinglai Wei1; Ruizhuo Song2
2019-12
Conference Name2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019)
Conference Date2019-12
Conference PlaceXiamen, China
Abstract

As a kind of distributed energy storage system, ice-storage air conditioning (IAC) system is an effective way for transferring cooling load. A parallel adaptive critic design method is constructed for solving the optimal control problem of IAC systems. Adaptive critic design is also called adaptive dynamic programming (ADP). The initial value function of the parallel ADP method is obtained by using particle swarm optimization (PSO) method to pre-train the weights of the neural networks. Another PSO algorithm is utilized in each iteration to achieve the target control, which avoids solving a nonlinear equation in traditional ADP algorithms. Finally, the efficiency of the parallel ADP algorithm will be illustrated through the experiment results. 

KeywordParallel adaptive critic design Adaptive dynamic programming Particle swarm optimization Ice-storage air conditioning
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/39595
Collection个人空间
Corresponding AuthorQinglai Wei
Affiliation1.Institute of Automation, Chinese Academy of Sciences, Beijing, China
2.University of Science and Technology Beijing, Beijing, China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Zehua Liao,Qinglai Wei,Ruizhuo Song. Parallel Adaptive Critic Designs of Optimal Control for Ice-Storage Air Conditioning Systems[C],2019.
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