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Two case studies for applying Model Predictive Controllers on chemical processes

Research output: Contribution in Book/Report/ProceedingsPaper

Published

Associated organisation

Publication date2007
Host publicationIndustrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE
Place of publicationNew York
PublisherIEEE
Pages580-585
Number of pages6
ISBN (Print)978-1-4244-0783-5
Original languageEnglish

Conference

Conference33rd Annual Conference of the IEEE-Industrial-Electronics-Society
CityTaipei
Period5/11/078/11/07

Publication series

NameIEEE Industrial Electronics Society
PublisherIEEE
ISSN (Print)1553-572X

Conference

Conference33rd Annual Conference of the IEEE-Industrial-Electronics-Society
CityTaipei
Period5/11/078/11/07

Abstract

Implementation of Model Predictive Control as the most famous advanced process control method, in real processes has some practical issues that are ignored in many simulation studies and needs more attention especially in implementing the controller. For this purpose, in this paper two chemical processes are simulated in HYSYS software as a more realistic environment that exhibits many properties of real plants. The control and identification is performed by connecting HYSYS and MATLAB softwares in a real-time manner. Some of the train practical issues that are considered here are: pre-test of the plant, test design and identification requirements, dealing with low-level control loops and controller tuning to attain the best performance. Simulation results show that without having enough knowledge on such important points, practical implementation of this very useful advanced process control method will be very challenging.