中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Model Predictive Control for Vapor Compression Cycle of Refrigeration Process

文献类型:期刊论文

作者Xiao-Hong Yin; Shao-Yuan Li
刊名International Journal of Automation and Computing
出版日期2018
卷号15期号:6页码:707-715
关键词Vapor compression refrigeration cycle model structure structure selection criterion model reduction model predictive control.
ISSN号1476-8186
DOI10.1007/s11633-015-0942-6
英文摘要A model predictive controller based on a novel structure selection criterion for the vapor compression cycle (VCC) of refrigeration process is proposed in this paper. Firstly, those system variables are analyzed which exert significant influences on the system performance. Then the structure selection criterion, a trade-off between computation complexity and model performance, is applied to different model structures, and the results are utilized to determine the optimized model structure for controller design. The controller based on multivariable model predictive control (MPC) strategy is designed, and the optimization problem for the reduced order models is formulated as a constrained minimization problem. The effectiveness of the proposed MPC controller is verified on the experimental rig.
源URL[http://ir.ia.ac.cn/handle/173211/42445]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China
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GB/T 7714
Xiao-Hong Yin,Shao-Yuan Li. Model Predictive Control for Vapor Compression Cycle of Refrigeration Process[J]. International Journal of Automation and Computing,2018,15(6):707-715.
APA Xiao-Hong Yin,&Shao-Yuan Li.(2018).Model Predictive Control for Vapor Compression Cycle of Refrigeration Process.International Journal of Automation and Computing,15(6),707-715.
MLA Xiao-Hong Yin,et al."Model Predictive Control for Vapor Compression Cycle of Refrigeration Process".International Journal of Automation and Computing 15.6(2018):707-715.

入库方式: OAI收割

来源:自动化研究所

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