Control of specific growth rate in fed-batch bioprocesses : novel controller design for improved noise management

Brignoli, Yann (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Dabros, Michel (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Freeland, Brian (School of Biotechnology, Dublin City University, Dublin, Ireland ; I-Form Advanced Manufacturing Research Centre, Dublin City University, Dublin, Ireland ; Advanced Processing Technology Research Centre, School of Mechanical and Manufacturing Engineering, Dublin City University, Dublin, Ireland) ; Cunningham, David (School of Biotechnology, Dublin City University, Dublin, Ireland)

Accurate control of the specific growth rate (µ) of microorganisms is dependent on the ability to quantify the evolution of biomass reliably in real time. Biomass concentration can be monitored online using various tools and methods, but the obtained signal is often very noisy and unstable, leading to inaccuracies in the estimation of μ. Furthermore, controlling the growth rate is challenging as the process evolves nonlinearly and is subject to unpredictable disturbances originating from the culture’s metabolism. In this work, a novel feedforward-feedback controller logic is presented to counter the problem of noise and oscillations in the control variable and to address the exponential growth dynamics more effectively. The controller was tested on fed-batch cultures of Kluyveromyces marxianus, during which μ was estimated in real time from online biomass concentration measurements obtained with dielectric spectroscopy. It is shown that the specific growth rate can be maintained at different setpoint values with an average root mean square control error of 23 ± 6%


Keywords:
Article Type:
scientifique
Faculty:
Ingénierie et Architecture
School:
HEIA-FR
Institute:
ChemTech - Institut des technologies chimiques
Date:
2020-06
Pagination:
16 p.
Published in:
Processes
Numeration (vol. no.):
2020, vol. 8(6), no. 679
DOI:
ISSN:
2227-9717
Appears in Collection:



 Record created 2020-07-14, last modified 2020-07-14

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