Optimal Synthesis for the Minimum Time Control Problems of Fed-Batch Bioprocesses for Growth Functions with Two Maxima

Térence Bayen (), Pedro Gajardo () and Francis Mairet ()
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Térence Bayen: Université Montpellier 2
Pedro Gajardo: Universidad Técnica Federico Santa María
Francis Mairet: Universidad Técnica Federico Santa María

Journal of Optimization Theory and Applications, 2013, vol. 158, issue 2, No 12, 553 pages

Abstract: Abstract We address the problem of finding an optimal feedback control for feeding a fed-batch bioreactor with one species and one substrate from a given initial condition to a given target value in a minimal amount of time. Recently, the optimal synthesis (optimal feeding strategy) has been obtained in systems in which the microorganisms involved are represented by increasing growth functions or growth functions with one maxima, with either Monod or Haldane functions, respectively (widely used in bioprocesses modeling). In the present work, we allow impulsive controls corresponding to instantaneous dilutions, and we assume that the growth function of the microorganism present in the process has exactly two local maxima. This problem has been tackled from a numerical point of view without impulsive controls. In this article, we introduce two singular arc feeding strategies, and we define explicit regions of initial conditions in which the optimal strategy is either the first singular arc strategy or the second strategy.

Keywords: Optimal control; Minimal time problem; Impulsive control; Pontryagin maximum principle; Bioreactor (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/s10957-012-0225-0

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