Composition control and temperature inferential control of dividing wall column based on model predictive control and PI strategies

doi:10.1016/j.cjche.2017.12.005

Chinese Journal of Chemical Engineering ›› 2018, Vol. 26 ›› Issue (5): 1087-1101.DOI: 10.1016/j.cjche.2017.12.005

• Process Systems Engineering and Process Safety • 上一篇下一篇

Composition control and temperature inferential control of dividing wall column based on model predictive control and PI strategies

Jianxin Wang¹, Na Yu¹, Mengqi Chen¹, Lin Cong², Lanyi Sun¹

1 State Key Laboratory of Heavy Oil Processing, College of Chemical Engineering, China University of Petroleum(East China), Qingdao 266580, China;
2 College of Information and Control Engineering, China University of Petroleum(East China), Qingdao 266580, China

收稿日期:2017-09-09 修回日期:2017-11-27 出版日期:2018-05-28 发布日期:2018-06-29
通讯作者: Lanyi Sun,E-mail address:sunlanyi@upc.edu.cn
基金资助:
Supported by the National Natural Science Foundation of China (21676299, 21476261 and 21606255).

Composition control and temperature inferential control of dividing wall column based on model predictive control and PI strategies

Jianxin Wang¹, Na Yu¹, Mengqi Chen¹, Lin Cong², Lanyi Sun¹

1 State Key Laboratory of Heavy Oil Processing, College of Chemical Engineering, China University of Petroleum(East China), Qingdao 266580, China;
2 College of Information and Control Engineering, China University of Petroleum(East China), Qingdao 266580, China

Received:2017-09-09 Revised:2017-11-27 Online:2018-05-28 Published:2018-06-29
Contact: Lanyi Sun,E-mail address:sunlanyi@upc.edu.cn
Supported by:
Supported by the National Natural Science Foundation of China (21676299, 21476261 and 21606255).

摘要/Abstract

摘要： The dividing wall column (DWC) is considered as a major breakthrough in distillation technology and has good prospect of industrialization. Model predictive control (MPC) is an advanced control strategy that has acquired extensive applications in various industries. In this study, MPC is applied to the process for separating ethanol, n-propanol, and n-butanol ternary mixture in a fully thermally coupled DWC. Both composition control and temperature inferential control are considered. The multiobjective genetic algorithm function "gamultiobj" in Matlab is used for the weight tuning of MPC. Comparisons are made between the control performances of MPC and PI strategies. Simulation results show that although both MPC and PI schemes can stabilize the DWC in case of feed disturbances, MPC generally behaves better than the PI strategy for both composition control and temperature inferential control, resulting in a more stable and superior performance with lower values of integral of squared error (ISE).

关键词: Dividing wall column, Composition control, Temperature inferential control, PI strategy, Model predictive control, Genetic algorithm

Abstract: The dividing wall column (DWC) is considered as a major breakthrough in distillation technology and has good prospect of industrialization. Model predictive control (MPC) is an advanced control strategy that has acquired extensive applications in various industries. In this study, MPC is applied to the process for separating ethanol, n-propanol, and n-butanol ternary mixture in a fully thermally coupled DWC. Both composition control and temperature inferential control are considered. The multiobjective genetic algorithm function "gamultiobj" in Matlab is used for the weight tuning of MPC. Comparisons are made between the control performances of MPC and PI strategies. Simulation results show that although both MPC and PI schemes can stabilize the DWC in case of feed disturbances, MPC generally behaves better than the PI strategy for both composition control and temperature inferential control, resulting in a more stable and superior performance with lower values of integral of squared error (ISE).

Key words: Dividing wall column, Composition control, Temperature inferential control, PI strategy, Model predictive control, Genetic algorithm

Jianxin Wang, Na Yu, Mengqi Chen, Lin Cong, Lanyi Sun. Composition control and temperature inferential control of dividing wall column based on model predictive control and PI strategies[J]. Chinese Journal of Chemical Engineering, 2018, 26(5): 1087-1101.

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Composition control and temperature inferential control of dividing wall column based on model predictive control and PI strategies

Composition control and temperature inferential control of dividing wall column based on model predictive control and PI strategies

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