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Constrained model predictive control with economic optimization for integrating process
Pang Q(庞强); Zou T(邹涛); Cong QM(丛秋梅); Wang Y(王元)
Department信息服务与智能控制技术研究室
Source PublicationCanadian Journal of Chemical Engineering
ISSN0008-4034
2015
Volume93Issue:8Pages:1462-1473
Indexed BySCI ; EI
EI Accession number20152600975609
WOS IDWOS:000357821400016
Contribution Rank2
AbstractThe close relationship between steady-state prediction outputs and actual inputs results in the existence of model uncertainty in the steady-state prediction equation for integrating processes. This paper establishes a steady-state prediction model that can reflect the dynamic execution process of the manipulated variables. Based on integration of the steady-state optimization layer and dynamic optimization layer, the input increment sequences of multi-step prediction are regarded as the decision variables. A quadratic programming model with inputs, outputs, and input increment constraints was developed, which simultaneously solved the problems of steady-state optimization and dynamic control of integration process, as well as the sub-optimal solution of the steady-state targets in each cycle. Simulation examples illustrate that the optimal setpoints and the actual values of the inputs and outputs are all within the constraint ranges and the actual values settle to the optimal setpoints, and demonstrate that the method proposed in this paper can effectively solve the steady-state optimization problem for integrating processes when economical optimization of the inputs and outputs is considered. © 2015 Canadian Society for Chemical Engineering.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectEngineering, Chemical
WOS KeywordREAL-TIME OPTIMIZATION ; POST-OPTIMALITY APPROACH ; CASCADE CONTROL-SYSTEMS ; MPC TARGET CALCULATION ; LP-MPC ; OPERATION
WOS Research AreaEngineering
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/16153
Collection信息服务与智能控制技术研究室
Corresponding AuthorPang Q(庞强)
Affiliation1.State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China
2.Dept. of Information Service and Intelligent Control, Shenyang Institute of Automation, Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, China
3.Shenyang Microcyber Automation Technology Co., Ltd., Shenyang, China
Recommended Citation
GB/T 7714
Pang Q,Zou T,Cong QM,et al. Constrained model predictive control with economic optimization for integrating process[J]. Canadian Journal of Chemical Engineering,2015,93(8):1462-1473.
APA Pang Q,Zou T,Cong QM,&Wang Y.(2015).Constrained model predictive control with economic optimization for integrating process.Canadian Journal of Chemical Engineering,93(8),1462-1473.
MLA Pang Q,et al."Constrained model predictive control with economic optimization for integrating process".Canadian Journal of Chemical Engineering 93.8(2015):1462-1473.
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