State estimation in alcoholic fermentation models: a case-study in wine-making conditions
- Others:
- Dipartimento di Matematica "Guido Castelnuovo" [Roma I] (Sapienza University of Rome) ; Università degli Studi di Roma "La Sapienza" = Sapienza University [Rome] (UNIROMA)
- Mathematics for Control, Transport and Applications (McTAO) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie (MISTEA) ; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE)-Institut Agro Montpellier ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
- ANR-18-CE10-0013,STARWINE,Stratégies de contrôle en temps réel de la production d'arômes en fermentation œnologique(2018)
Description
We study the problem of online state estimation during wine fermentation. This problem becomes relevant when trying to control the alcoholic fermentation process with a control law relying on our capacity to estimate the full state, but with partial measurements of the system (which is the case in an industrial framework). We focus on studying observability properties of an alcoholic fermentation model in wine-making conditions. We implement an algorithm of state estimation based on optimality principles on expanding time windows (Full Information Estimator). In order to test the developed algorithms, we compare the results obtained on simulated data as well as experimental data obtained in wine fermentations performed at a laboratory scale.
Additional details
- URL
- https://hal.science/hal-04269299
- URN
- urn:oai:HAL:hal-04269299v2
- Origin repository
- UNICA