Soft sensors for product quality monitoring in debutanizer distillation columns

被引：260

作者：

Fortuna, L

Graziani, S

Xibilia, MG

机构：

[1] Univ Catania, Dipartimento Elettr Elettron & Sistemist, I-95125 Catania, Italy

[2] Univ Messina, Dipartimento Matemat, I-98166 Messina, Italy

来源：

CONTROL ENGINEERING PRACTICE | 2005年 / 13卷 / 04期

关键词：

distillation columns; monitoring; neural-network models; product quality; soft sensing;

D O I：

10.1016/j.conengprac.2004.04.013

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper deals with the design of neural based soft sensors to improve product quality monitoring and control in a refinery by estimating the stabilized gasoline concentration (C5) in the top flow and the butane (C4) concentration in the bottom flow of a debutanizer column, on the basis of a set of available measurements. Three-step predictive dynamic neural models were implemented in order to evaluate in real time the top and bottom product concentrations in the column. The soft sensors designed overcome the great time delay introduced by the corresponding gas chromatograph, giving on-line estimations that are suitable for monitoring and control purposes. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：499 / 508

页数：10

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