Automatic Model Reduction of Linear Population Balance Models by Proper Orthogonal Decomposition

被引:2
|
作者
Khlopov, Dmytro [1 ]
Mangold, Michael [1 ]
机构
[1] Max Planck Inst Dynam Complex Tech Syst, Sandtorstr 1, D-39106 Magdeburg, Germany
来源
IFAC PAPERSONLINE | 2015年 / 48卷 / 01期
关键词
crystallization; population balance equations; linear model reduction; proper orthogonal decomposition; computer-aided modeling; differential algebraic systems; dynamic simulation; SYSTEMS;
D O I
10.1016/j.ifacol.2015.05.019
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 discusses the use of Proper Orthogonal Decomposition (POD) for model reduction of particle processes in fluid How described by Population Balance Equation (PBEs). This class of processes is very important for chemical engineering. As detailed models of such processes turn out to be very complicated, POD is an attractive way to obtain reduced models of low order. This paper reports on the automatization of the mentioned method. An automatic procedure for the reduction of PBE models is presented, which is implemented in the modeling and simulation environment ProMoT/Diana. Currently, the procedure is applicable to linear models, but is extendable to nonlinear models, as well. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:11 / 16
页数:6
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