A software environment for economic NMPC and dynamic real-time optimization of chemical processes

被引：8

作者：

Elixmann, David ^{[1
]}

Puschke, Jennifer ^{[1
]}

Scheu, Holger ^{[1
]}

Schneider, Rene ^{[1
]}

Wolf, Inga J. ^{[1
]}

Marquardt, Wolfgang ^{[1
]}

机构：

[1] Rhein Westfal TH Aachen, AVT Proc Syst Engn, D-52064 Aachen, Germany

来源：

AT-AUTOMATISIERUNGSTECHNIK | 2014年 / 62卷 / 02期

关键词：

Nonlinear model-predictive control; hierarchical control; real-time optimization; large-scale systems; modularity; MODEL-PREDICTIVE CONTROL; OPERATION;

D O I：

10.1515/auto-2014-1020

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents the OptoEcon-Toolbox, a modular software environment for the simulation of chemical and energy processes, and their control using optimizing sampled-data controllers. Key features of this toolbox are modularity, which allows the realization of general multi-layer control architectures, and interfaces to powerful numerical software, which allows the usage of controller and plant surrogate models formulated in different modeling languages such as Modelica or gPROMS. The capability of this toolbox is illustrated in a case study of an industrial copolymerization process.

引用

页码：150 / 161

页数：12

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