Optimal control of batch reactors using generic model control (GMC) and neural network
Document Type
Article
Publication Date
1-1-2000
Abstract
On-line implementation of the optimal reactor temperature profiles in batch reactors is considered here. The optimal reactor temperature profiles are obtained by solving dynamic optimisation problems off-line to achieve maximum conversion to the desired product. Generic Model Control (GMC) algorithm is used to design the controller to track the optimal temperature profiles (dynamic set points). Neural Network technique is used as the on-line estimator to estimate the amount of heat released by the chemical reaction. A complex reaction scheme is considered in this work to illustrate the ideas. The results clearly show that the GMC controller coupled with a Neural Network based estimator tracks the optimal temperature profiles very well to obtain the desired products on target.
Divisions
fac_eng
Publication Title
Computer Aided Chemical Engineering
Volume
8
Publisher
Elsevier
Additional Information
Cited By (since 1996): 4 Export Date: 5 March 2013 Source: Scopus doi: 10.1016/S1570-7946(00)80031-0 Language of Original Document: English Correspondence Address: Mujtaba, I.M.; Computational Process Engineering Group, Department of Chemical Engineering, University of Bradford, West Yorkshire BD7 1DP, United Kingdom; email: I.M.@bradford.ac.uk References: Logsdon, J.S., Biegler, L.T., (1993) Comput. Chem. Engng., 17, p. 367; Luus, R., (1994) J. Proc. Cont, 4, p. 218; Cott, B.J., Macchietto, S., (1989) IEC Res, 28, p. 1177; Lee, P.L., Sullivan, G.R., (1988) Comput. Chem. Engng., 12, p. 573; Kershenbaum, L.S., Kittisupakorn, P., (1994) Trans IChemE, 72 (A), p. 55; Aziz, N., Mujtaba, I.M., (1998) IChemE Advance in Process Control Conference V; N. Aziz and I. M. Mujtaba, submitted to AIChEJ, 2000Liptak, G., (1986) Chem. Engng., May, p. 69; Hussain, M.A., (1999) Artificial Intelligence Eng., 13, p. 55; Mujtaba, I.M., Hussain, M.A., (1998) Comput. Chem. Engng., 22, pp. S621