Intelligent, model-based control towards the intensification of downstream processes

被引：17
|
作者：
Papathanasiou, Maria M. [1 ,3 ]
Steinebach, Fabian [2 ]
Morbidelli, Massimo [2 ]
Mantalaris, Athanasios [1 ]
Pistikopoulos, Efstratios N. [3 ]
机构：
[1] Imperial Coll London, CPSE, Dept Chem Engn, London SW7 2AZ, England
[2] ETH, Inst Chem & Bioengn, Wolfgang Pauli Str 10-HCI F 129, CH-8093 Zurich, Switzerland
[3] Texas A&M Univ, Artie McFerrin Dept Chem Engn, College Stn, TX 77843 USA
来源：
COMPUTERS & CHEMICAL ENGINEERING | 2017年 / 105卷
关键词：
Process intensification; Downstream processing; Periodic systems; Advanced control strategies; Multi parametric controla; GRADIENT PURIFICATION MCSGP; CONTINUOUS CHROMATOGRAPHY; ANTIBODY PURIFICATION; OPTIMIZATION; SYSTEMS; PLATFORM; DESIGN;
D O I：
10.1016/j.compchemeng.2017.01.005
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Process Intensification (PI) has been gaining increasing interest as industrial trends urge a shift to wards more eco-efficient processes of significantly decreased operation and capital costs. In this direction we focus on the development of advanced control strategies of the Multicolumn Countercurrent Solvent Gradient Purification Process (MCSGP), an industrial, semi-continuous, chromatographic process, used for the purification of several biomolecules. We present a novel control approach that manages to drive the process towards continuous, sustainable operation. The presented controllers are designed within the PARametric Optimization and Control (PAROC) framework/software platform that enables the development of intelligent, model-based controllers through a step-by-step approach. The controllers are successfully tested against various disturbance profiles and they manage to track the predefined setpoints without significant offset. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：173 / 184
页数：12
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