Open-loop control of particle size distribution in semi-batch emulsion copolymerization using a genetic algorithm
The open-loop generation of an optimal feed profile to attain a target particle size distribution (PSD) in the semi-batch emulsion co-polymerization of vinyl acetate and butyl acrylate is described. A nominal model of the process based on population balancing is utilized for this purpose. A Genetic...
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Published in | Chemical engineering science Vol. 57; no. 20; pp. 4415 - 4427 |
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Main Authors | , |
Format | Journal Article Conference Proceeding |
Language | English |
Published |
Oxford
Elsevier Ltd
01.10.2002
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | The open-loop generation of an optimal feed profile to attain a target particle size distribution (PSD) in the semi-batch emulsion co-polymerization of vinyl acetate and butyl acrylate is described. A nominal model of the process based on population balancing is utilized for this purpose. A Genetic Algorithm is employed as the optimization strategy. The optimal recipes generated in these studies are implemented on an experimental emulsion polymerization reactor. The end-point PSD obtained in these experiments closely matches the target in spite of the model uncertainties and process disturbances. Examination of the evolution of the PSD up to the end point provides useful information for feedback control strategies. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0009-2509 1873-4405 |
DOI: | 10.1016/S0009-2509(02)00355-X |