Volume 15 Number 6
December 2018
Article Contents
Xiao-Hong Yin and Shao-Yuan Li. Model Predictive Control for Vapor Compression Cycle of Refrigeration Process. International Journal of Automation and Computing, vol. 15, no. 6, pp. 707-715, 2018. doi: 10.1007/s11633-015-0942-6
Cite as: Xiao-Hong Yin and Shao-Yuan Li. Model Predictive Control for Vapor Compression Cycle of Refrigeration Process. International Journal of Automation and Computing, vol. 15, no. 6, pp. 707-715, 2018.

# Model Predictive Control for Vapor Compression Cycle of Refrigeration Process

Author Biography:
• Xiao-Hong Yin   received the B. Sc. and M. Sc. degrees from Shandong University, China in 2006 and 2009, respectively. She is currently a Ph. D. degree candidate in control engineering in the Department of Automation, Shanghai Jiao Tong University, China.
Her research interests include system modelling, and the control and optimization of large scale systems.
E-mail:yxh1985@sjtu.edu.cn
ORCID iD:0000-0001-6376-1040

• Corresponding author: Shao-Yuan Li  received the B. Sc. and M. Sc. degrees in automation from Hebei University of Technology, China in 1987 and 1992, respectively, and the Ph. D. degree from the Department of Computer and System Science, Nankai University, China in 1997. He is currently a professor with the Department of Automation, Shanghai Jiao Tong University, China.
His research interests include model predictive control, distributed dynamic system optimization, and applications for energy processes.
E-mail:syli@sjtu.edu.cn (Corresponding author)
ORCID iD:0000-0003-3427-2912
• Accepted: 2015-03-30
• Published Online: 2016-06-20
• 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.
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• 1.

沈阳化工大学材料科学与工程学院 沈阳 110142

Figures (10)  / Tables (2)

## Model Predictive Control for Vapor Compression Cycle of Refrigeration Process

• ###### Corresponding author:Shao-Yuan Li  received the B. Sc. and M. Sc. degrees in automation from Hebei University of Technology, China in 1987 and 1992, respectively, and the Ph. D. degree from the Department of Computer and System Science, Nankai University, China in 1997. He is currently a professor with the Department of Automation, Shanghai Jiao Tong University, China.   His research interests include model predictive control, distributed dynamic system optimization, and applications for energy processes.   E-mail:syli@sjtu.edu.cn (Corresponding author)   ORCID iD:0000-0003-3427-2912

Abstract: 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.

Xiao-Hong Yin and Shao-Yuan Li. Model Predictive Control for Vapor Compression Cycle of Refrigeration Process. International Journal of Automation and Computing, vol. 15, no. 6, pp. 707-715, 2018. doi: 10.1007/s11633-015-0942-6
 Citation: Xiao-Hong Yin and Shao-Yuan Li. Model Predictive Control for Vapor Compression Cycle of Refrigeration Process. International Journal of Automation and Computing, vol. 15, no. 6, pp. 707-715, 2018.
Reference (22)

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