ISSN: 0256-1115 (print version) ISSN: 1975-7220 (electronic version)
Copyright © 2024 KICHE. All rights reserved

Articles & Issues

Language
English
Conflict of Interest
In relation to this article, we declare that there is no conflict of interest.
Publication history
Received September 25, 2002
Accepted December 11, 2002
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright © KIChE. All rights reserved.

All issues

Polymer Property Control in a Continuous Styrene Polymerization Reactor Using Model-on-Demand Predictive Controller

School of Chemical Engineering and Institute of Chemical Processes, Seoul National University, Kwanak-ku, Seoul 151-742, Korea
hkrhee@snu.ac.kr
Korean Journal of Chemical Engineering, January 2003, 20(1), 14-21(8), 10.1007/BF02697178
downloadDownload PDF

Abstract

The model-on-demand (MoD) framework was extended to the model predictive control (MPC) to design a multiple variable model-on-demand predictive controller (MoD-PC). This control algorithm was applied to the property control of polymer product in a continuous styrene polymerization reactor. For this purpose, a local auto-regressive exogenous input (ARX) model was constructed with a small portion of data located in the region of interest at every sample time. With this model an output prediction equation was formulated to calculate the optimal control input sequence. Jacket inlet temperature and conversion were chosen as the elements of regressor state vector in data searching step. Simulation studies were conducted by applying the MoD-PC to MIMO control problems associated with the continuous styrene polymerization reactor. The control performance of the MoD-PC was then compared with that of a nonlinear MPC based on the polynomial auto-regressive moving average (ARMA) model for disturbance rejection as well as for setpoint-tracking. As a result, the MoD-PC was found to be an effective strategy for the production of polymers with desired properties.

References

Braun MW, Rivera DE, Stenman A, Foslien W, "Comparison of Global Nonlinear Models and Model-on-Demand Estimation Applied to Identification of an RTP Water Reactor," Proc. 38th IEEE Conf. Decision and Control, Phoenix, Arizona, USA, December 7-10 (1999)
Braun MW, McNamara BA, Rivera DE, Stenman A, "Model-on-Demand Identification for Control; An Experimental Study and Feasibility Analysis for MoD-based Predictive Control," Proc. IFAC Symp. Sys. Ident., Santa Barbara, California USA, June 21-23 (2000)
Cho KH, Yeo YK, Kim JS, Koh ST, Korean J. Chem. Eng., 16(2), 208 (1999)
Cybenko G, "Just-in-Time Learning and Estimation," Identification, Adaptation, Learning, NATO ASI Series, 423-434, Springer (1996)
Embirucu M, Lima EL, Pinto JC, Polym. Eng. Sci., 36(4), 433 (1996) 
Fruzzetti K, Palazoglu A, McDonald K, J. Proc. Control., 7, 31 (1995) 
Hamer JW, Akarmov TA, Ray WH, Chem. Eng. Sci., 36, 1897 (1981) 
Henson MA, Comput. Chem. Eng., 23(2), 187 (1998) 
Hernandez E, Arkun Y, AIChE J., 39(3), 446 (1993) 
Ljung L, "System Identification-Theory for the User," PTR Prentice Hall, NJ (1999)
Maner BR, Doyle FJ, AIChE J., 43(7), 1763 (1997) 
Na SS, Rhee HK, J. Appl. Polym. Sci., 76(13), 1889 (2000) 
Na SS, Rhee HK, Chem. Eng. Sci., 57(7), 1165 (2002) 
Schork FJ, Deshpande PB, Leffew KW, "Control of Polymerization Reactors," Marcel Dekker, Inc. (1993)
Stenman A, "Model on Demand: Algorithms, Analysis and Applications," Ph.D. Thesis, Dept of EE, Linkoping University, Linkoping, Sweden (1999)
Stenman A, "Model-free Predictive Control," Proc. 38th IEEE Conf. Decision and Control, Phoenix, Arizona, USA, December 7-10 (1999)
Yoo CK, Choi SW, Lee IB, Korean J. Chem. Eng., 19(3), 377 (2002)

The Korean Institute of Chemical Engineers. F5, 119, Anam-ro, Seongbuk-gu, 233 Spring Street Seoul 02856, South Korea.
Phone No. +82-2-458-3078FAX No. +82-507-804-0669E-mail : kiche@kiche.or.kr

Copyright (C) KICHE.all rights reserved.

- Korean Journal of Chemical Engineering 상단으로