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Model Predictive Control of a Fed-batch Bioreactor Based on Dynamic Metabolic-Genetic Network Models

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© 2018 In this work, a model predictive control of a fed-batch bioreactor is presented, described by the dynamic enzyme-cost FBA model (deFBA). The deFBA model is employed within a bilevel optimization to obtain fed-batch operating policies including the substrate feeding and process-level regulation of metabolism for optimizing the productivity of a target product. The advantages of implementing the closed-loop control in order to compensate for modelling errors are evaluated by comparing with the performance of an open-loop control. A case study involving the fed-batch fermentation of Escherichia coli for ethanol production is considered to find optimal operating strategies for maximal productivity.
Tijdschrift: IFAC papers online
ISSN: 1474-6670
Issue: 19
Volume: 51
Pagina's: 34 - 37
Jaar van publicatie:2018
BOF-keylabel:ja
IOF-keylabel:ja
Authors from:Higher Education
Toegankelijkheid:Open