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Model Predictive Control Method of Simulated Moving Bed Chromatographic Separation Process Based on Subspace System Identification
Joint Authors
Wang, Shaoyan
Wang, Dan
Li, Shou-Jiang
Yan, Zhen
Sun, Wei-Zhen
Wang, Jie-sheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-24, 24 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-22
Country of Publication
Egypt
No. of Pages
24
Main Subjects
Abstract EN
Simulated moving bed (SMB) chromatographic separation is a new type of separation technology based on traditional fixed bed adsorption operation and true moving bed (TMB) chromatographic separation technology, which includes inlet-outlet liquid, liquid circulation, and feed liquid separation.
The input-output data matrices were constructed based on SMB chromatographic separation process data.
The SMB chromatographic separation process was modeled by utilizing two subspace system identification algorithms: multivariable output-error state-space (MOESP) identification algorithm and numerical algorithms for subspace state-space system identification (N4SID), so as to obtain the 3rd-order and 4th-order state-space yield models of the SMB chromatographic separation process, respectively.
The model predictive control method based on the established state-space models is used in the SMB chromatographic separation process.
The influence of different control indicators on the predictive control system response performance is discussed.
The output response curves of the yield models were obtained by changing the related parameters so that the yield model parameters are optimized set meanwhile.
Finally, the simulation results showed that the yield models are successfully controlled based on the each control period and given yield range.
American Psychological Association (APA)
Yan, Zhen& Wang, Jie-sheng& Wang, Shaoyan& Li, Shou-Jiang& Wang, Dan& Sun, Wei-Zhen. 2019. Model Predictive Control Method of Simulated Moving Bed Chromatographic Separation Process Based on Subspace System Identification. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-24.
https://search.emarefa.net/detail/BIM-1194737
Modern Language Association (MLA)
Yan, Zhen…[et al.]. Model Predictive Control Method of Simulated Moving Bed Chromatographic Separation Process Based on Subspace System Identification. Mathematical Problems in Engineering No. 2019 (2019), pp.1-24.
https://search.emarefa.net/detail/BIM-1194737
American Medical Association (AMA)
Yan, Zhen& Wang, Jie-sheng& Wang, Shaoyan& Li, Shou-Jiang& Wang, Dan& Sun, Wei-Zhen. Model Predictive Control Method of Simulated Moving Bed Chromatographic Separation Process Based on Subspace System Identification. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-24.
https://search.emarefa.net/detail/BIM-1194737
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194737