DCS implementation of optimal operational policies: a crystallisation case study

被引：10

作者：

Abbas, Ali ^{[1
]}

Romagnoli, Jose ^{[2
]}

机构：

[1] Nanyang Technol Univ, Sch Chem & Biomed Engn, Singapore, Singapore

[2] Louisiana State Univ, Dept Chem Engn, Baton Rouge, LA 70803 USA

来源：

INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY | 2006年 / 25卷 / 04期

关键词：

Distributed Control System (DCS); model predictive control; modelling inferential; batch; crystallisation; particulate processes; advanced operation; optimal control;

D O I：

10.1504/IJCAT.2006.009393

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This work features the integrated utilisation of various technologies including advanced modelling software (both off-line and real time), model-predictive control and distributed computer control technology in a collective environment. The outcome will be a structured framework for the optimal control of generic and complex batch recipe-driven processes. This framework is general and well suited for application to any particulate process. The design from a holistic point of view of a multilayer architecture for the advanced control of a batch cooling crystallisation pilot facility is described.

引用

页码：198 / 208

页数：11

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