Modeling and observer design for aluminum manufacturing. (March 2022)

• Record Type: Journal Article
• Authors: da Silva Moreira, Lucas José; Fiacchini, Mirko; Besançon, Gildas; Ferrante, Francesco; Roustan, Hervé
• Is Part Of: European journal of control. Volume 64(2022)
• Publication Date: 2022-03
• Subjects: Physical modeling -- Parameter identification -- Observer design -- Kalman Filter -- Industrial application; Control theory -- Periodicals; Automatic control -- Periodicals; Automatic control -- Mathematics -- Periodicals; Electronic journals; 629.805
• DOI: 10.1016/j.ejcon.2021.12.006
• Languages: English
• ISSNs: 0947-3580

Abstract

Abstract: This paper addresses modeling, identification, and observer design of the Hall-Héroult process. This process is the main core of aluminum manufacturing. More specifically, by building upon a blend of physical-chemical constitutive relations and system identification tools, this paper first provides a model describing the interplay of Anode-Cathode Distance (ACD), alumina concentration, and pot pseudo-resistance. The proposed model is then used to tune a linear Kalman filter generating online estimates of the plant state variables. The proposed approach is validated via data taken from a real industrial plant.