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
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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 |
DOI | 10.1007/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 |
推荐引用方式 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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