Model Based Approach for Online Monitoring of Aluminum Production Process - Modelling and Optinal Decision for Uncertain Systems Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

Model Based Approach for Online Monitoring of Aluminum Production Process

Résumé

In Hall-Heroult process for aluminium production, estimating the alumina concentration and the anode-cathode distance (ACD) remains a challenge. One of the difficulties arises from the fact that it is not possible to measure those quantities continuously during the pot operation. This article presents a novel approach for on line estimating alumina concentration and ACD in a regular aluminum-reduction pot cell using a Linear Kalman Filter. This is done by using an appropriate dynamical model for the pot, which is obtained by combining the first principle modeling and experimental identification of alumina concentration behavior from irregularly sampled data. Moreover, a dynamical model for the pot resistance is identified as a function of the alumina concentration and ACD data. The proposed approach is validated on an industrial platform.

Domaines

Automatique
Fichier principal
Vignette du fichier
TMS_paper_final (1).pdf (223.23 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-02444509 , version 1 (03-12-2020)

Identifiants

Citer

Lucas José da Silva Moreira, Gildas Besancon, Francesco Ferrante, Mirko Fiacchini, Herve Roustan. Model Based Approach for Online Monitoring of Aluminum Production Process. TMS 2021 Annual Meeting & Exhibition, Mar 2020, San Antonio, United States. pp.566-571, ⟨10.1007/978-3-030-36408-3_78⟩. ⟨hal-02444509⟩
138 Consultations
406 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More