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Nonlinear Predictive Control of Fed‐Batch Cultures of Escherichia coli
Author(s) -
Tebbani S.,
Dumur D.,
Hafidi G.,
Vande Wouwer A.
Publication year - 2010
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.201000029
Subject(s) - model predictive control , robustness (evolution) , nonlinear system , control theory (sociology) , monte carlo method , escherichia coli , mathematical optimization , optimal control , mathematics , computer science , chemistry , control (management) , physics , artificial intelligence , statistics , biochemistry , quantum mechanics , gene
A strategy for controlling a fed‐batch Escherichia coli culture is described to maintain the culture at the boundary between oxidative and oxido‐fermentative regimes. A nonlinear predictive controller is designed to regulate the acetate concentration, constraining the feed rate to follow an optimal reference profile which maximizes the biomass growth. For the sake of simplicity and efficiency, the original problem is converted into an unconstrained nonlinear programming problem, solved by control vector parameterization techniques. The robustness of the structure is further improved by explicitly including the difference between system and model prediction. A robustness study based on a Monte Carlo approach is used to evaluate the performance of the proposed controller. This control law is finally compared to the generic model control strategy.