NMPC in Parallel Mini-Bioreactor Facilities: Application in Optimal Screening Design

Sebastian Hans (Vortragende:r), Sergio Lucia, Tilman Barz, Peter Neubauer, Mariano Nicolas Cruz Bournazou

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

Screening is arguably the most important step in bioprocess development. The selection of the best organism and cultivation conditions is crucial for the following steps of the development process since important decisions are made at very early developmental stages which have a signi cant impact on the overal performance in manufacturing. In this work we tackle the challenges related to the conditional screening phase (where typically approx. #strains < 20, medium, temperature, bioreactor settings, and bioprocess strategy are taken into account) by designing and operating optimal experiments in robotic experimental facilities. We introduce an NMPC framework that is able to operate 48 parallel mini-bioreactors aiming to maximize the probability of selecting the best strain for the industrial process. To achieve this, the experiment is designed online such that the uncertainty on the parameter estimates allows the most reliable selection in screening considering the error propagation onto the outputs of the simulated process.
OriginalspracheEnglisch
TitelProceedings of NMPC 2018 6th IFAC Conference on Nonlinear Model Predictive Control
Seitenumfang2
PublikationsstatusVeröffentlicht - 2018
VeranstaltungNMPC 2018 6th IFAC Conference on Nonlinear Model Predictive Control -
Dauer: 19 Aug. 201822 Aug. 2018

Konferenz

KonferenzNMPC 2018 6th IFAC Conference on Nonlinear Model Predictive Control
Zeitraum19/08/1822/08/18

Research Field

  • Efficiency in Industrial Processes and Systems

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