DEVELOPING GREY-BOX DYNAMIC PROCESS MODELS

被引：20
|
作者：
de Prada, C. [1 ]
Hose, D. [2 ]
Gutierrez, G. [1 ]
Pitarch, J. L. [1 ]
机构：
[1] Univ Valladolid, Dept Syst Engn & Automat Control, C Real Burgos S-N, E-47011 Valladolid, Spain
[2] Univ Stuttgart, Inst Engn & Computat Mech, Pfaffenwaldring 9, D-70569 Stuttgart, Germany
来源：
IFAC PAPERSONLINE | 2018年 / 51卷 / 02期
基金：
欧盟地平线“2020”;
关键词：
Modelling methodology; grey-box models; structure; identification; fermentation process;
D O I：
10.1016/j.ifacol.2018.03.088
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 a methodology for developing grey models of process systems, that is, models that, being based on fundamental principles and laws of nature, combine them with sub-models obtained from experimental data. The method follows two steps: the first one takes advantage of what is known, while the second uses the data and mixed-integer optimization algorithms to identify the structure and parameters of the remaining parts of the model. The method is illustrated in a challenging biotechnological process: the Acetone-Butanol-Ethanol (ABE) fermentation process. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：523 / 528
页数：6
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