Computational-based framework for optimizing dynamic processes with plantmodel mismatch

Mujtaba, I.M. and Hussain, Mohd Azlan (2000) Computational-based framework for optimizing dynamic processes with plantmodel mismatch. Malaysian Journal of Computer Science, 13 (1). pp. 27-33. ISSN 0127-9084,

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Abstract

A general computational sequence in optimizing the operation of a dynamic process is firstly highlighted in this paper. However, in most cases these dynamic processes include process-model mismatch, which shifts the optimal operation of the process. To overcome this, a model-mismatch estimator such as the neural network technique has been implemented in the optimization strategy. A modified general computational framework to incorporate these mismatches is developed for this purpose. The framework also allows the use of discrete process data in a continuous model to predict discrete and/or continuous mismatch profiles. The strategy is applied on a batch distillation system and the optimal operation using model mismatches is found to be comparable to that using the actual process model.

Item Type:	Article
Funders:	UNSPECIFIED
Additional Information:	Export Date: 5 March 2013 Source: Scopus Language of Original Document: English Correspondence Address: Mujtaba, I.M.; Computational Process Engineering Group, Department of Chemical Engineering, University of Bradford, Bradford BD7 1DP, United Kingdom; email: mujtaba@bradford.ac.uk References: Agarwal, M., (1996) Batch Processing Systems Engineering: Fundamentals and Applications for Chemical Engineering, 143, p. 295. , G.V. Reklaitis et al. eds., Series F: Computer and Systems Sciences, Springer Verlag, Berlin; Cuthrell, J.E., Biegler, L.T., (1989) Comput. Chem. Engng., 13 (1-2), p. 49; Cybenko, G., (1989) Math. Cont. Sig. Syst., 2, p. 303; Farhat, S., Czernicki, M., Pibouleau, L., Domenech, S., (1990) AIChE J, 36 (9), p. 1349; Hussain, M.A., (1996) PhD Thesis, , Imperial College, London; Hussain, M.A., Allwright, J.C., Kershenbaum, L.S., (1995) Proceedings of IChemE - Advances in Process Control 4, p. 195. , York, 27-28 September, 1995; Logsdon, J.S., Diwekar, U.M., Biegler, L.T., (1990) Trans IChemE, 68 (PART A), p. 434; Morison, K.R., (1984) PhD Thesis, , Imperial College, London; Mujtaba, I.M., Macchietto, S., (1996) J. Proc. Cont., 6 (1), p. 27; Macchietto, S., Mujtaba, I.M., (1996) Batch Processing Systems Engineering: Fundamentals and Applications for Chemical Engineering, 143, p. 174. , G. V. Reklaitis et al. eds., Series F: Computer and Systems Sciences, Springer Verlag, Berlin; Vassiliadis, V.S., Sargent, R.W.H., Pantelides, C.C., (1994) IEC Res., 33 (9), p. 2123; Walsh, S., Mujtaba, I.M., Macchietto, S., (1995) Acta chimica Slovenica, 42 (1), p. 69
Uncontrolled Keywords:	Computational framework; Dynamic process and Model mismatch; Optimization.
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) T Technology > TP Chemical technology
Divisions:	Faculty of Engineering
Depositing User:	Mr Jenal S
Date Deposited:	10 Jul 2013 07:25
Last Modified:	10 Feb 2021 03:33
URI:	http://eprints.um.edu.my/id/eprint/7087

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