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H∞ Filter-based Alumina Concentration Estimation for an Aluminium Smelting Process
Alumina is the primary reactant in the aluminium reduction process, and its concentration significantly affects productivity and process efficiency. However, due to the harsh environment of the electrolytic bath, real-time measurement of alumina concentration is often infeasible, leading to signific...
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Published in: | IFAC-PapersOnLine 2024, Vol.58 (22), p.36-41 |
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Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Alumina is the primary reactant in the aluminium reduction process, and its concentration significantly affects productivity and process efficiency. However, due to the harsh environment of the electrolytic bath, real-time measurement of alumina concentration is often infeasible, leading to significant challenges in online reduction cell control. The Extended Kalman filter (EKF) can be used to estimate the alumina concentration. However, its performance is often unsatisfactory when there are events or abnormal conditions that are not captured by the process model. In this paper, an H∞ state estimator is developed to deal with uncertainties in the cell operations for the real-time estimation of alumina concentration, utilising the alumina feed rate, beam movements and voltage measurements. The experimental study using a production cell shows that the H∞ filter can provide better estimation compared to an EKF when abnormal conditions occur. |
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ISSN: | 2405-8963 2405-8963 |
DOI: | 10.1016/j.ifacol.2024.09.287 |