An improved economic-based nonlinear model predictive control strategy for the crude oil distillation process

被引：3
|
作者：
Jin, Qibin [1 ]
Feng, Zhenxiang [1 ]
Liu, Qie [1 ]
Du, Xinghan [1 ]
Zhang, Yuming [1 ]
Cai, Wu [1 ]
机构：
[1] Beijing Univ Chem Technol, Inst Automat, Beisanhuan East Rd 15, Beijing 100029, Peoples R China
来源：
CANADIAN JOURNAL OF CHEMICAL ENGINEERING | 2018年 / 96卷 / 11期
基金：
中国国家自然科学基金;
关键词：
CDU process; economic NMPC; coupling weighting factor; SVR model; OPTIMIZATION; DESIGN; OPERATION; TUTORIAL;
D O I：
10.1002/cjce.23148
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
Improving performance and increasing process profitability represent a priority for the long-term operation of the crude oil distillation process. To increase process profitability and maintain control performance, in this paper, an improved economic-based nonlinear model predictive control (NMPC) strategy is used to optimize the crude oil distillation (CDU) process. Considering the strong coupling and nonlinear dynamics of the CDU process, we make some modifications for the existing NMPC strategy. To reduce the complexity of the nonlinear prediction model, a support vector regression (SVR) based model is employed to describe the dynamical behaviour of the CDU process. Considering the coupling of the CDU process, we propose the concept of the coupling weighting factor to modify the objective function of the NMPC optimization problem. The simulation results demonstrate the effectiveness of the proposed improved NMPC algorithm for the CDU process.
引用
收藏
页码：2408 / 2419
页数：12
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