Skip to the main content

Original scientific paper

Adaptive Control of Saccharomyces cerevisiae Yeasts Fed-Batch Cultivations

J. Vovsík orcid id orcid.org/0000-0002-6533-4541 ; Department of Computing and Control Engineering, Institute of Chemical Technology, Prague, Technická 5, 166 28 Prague 6, Czech Republic
P. Hrnčiřík ; Department of Computing and Control Engineering, Institute of Chemical Technology, Prague, Technická 5, 166 28 Prague 6, Czech Republic
J. Náhlík ; Department of Computing and Control Engineering, Institute of Chemical Technology, Prague, Technická 5, 166 28 Prague 6, Czech Republic
J. Mareš ; Department of Computing and Control Engineering, Institute of Chemical Technology, Prague, Technická 5, 166 28 Prague 6, Czech Republic


Full text: english pdf 1.007 Kb

page 297-306

downloads: 583

cite


Abstract

In this paper, the application of an adaptive algorithm for control of fed-batch bioprocess capable of coping with time-variant process properties in the presence of uncertainties is introduced. The proposed adaptive controller uses Maršík’s heuristic algorithm
for adaptation based on control error oscillation rate criterion without the need of a mathematical model of the controlled process or any special test signals. The intended application of the resulting controller was off-gas CO2 concentration control in fed-batch
yeast cultivations where the set point has the form of a time-varying concentration profile. The controller has been tested in a series of experimental fed-batch cultivations with D7 Saccharomyces cerevisiae strain, a UV mutant suitable for ergosterol production, in
7‑litre laboratory bioreactor. Obtained results demonstrate good properties of this adaptive controller that can be used without the need for a tedious parameter identification of the complex bioprocess.

Keywords

Adaptive control; identification-free; fed-batch cultivation; baker’s yeast; and Saccharomyces cerevisiae

Hrčak ID:

108948

URI

https://hrcak.srce.hr/108948

Publication date:

30.9.2013.

Visits: 1.080 *