| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
Aluminum Reduction Technology
|
| Presentation Title |
Estimation of the Spatial Alumina Concentration of an Aluminium Smelting Cell Using a Huber Function-based Kalman Filter |
| Author(s) |
Luning Ma, Choon-Jie Wong, Jie Bao, Maria Skyllas-Kazacos, Jing Shi, Nadia Ahli, Amal Aljasmi, Mohamed Mahmoud |
| On-Site Speaker (Planned) |
Choon-Jie Wong |
| Abstract Scope |
The distribution of alumina concentration is important for optimal cell operations in the aluminium smelting process. However, continuous measurement of alumina concentration is generally infeasible due to the corrosive nature of the electrolyte. As such a soft sensor is often needed to estimate the alumina concentration (e.g., from cell voltage and line current). However, these approaches often suffer from poor estimation accuracy when the model error increases (e.g., during anode effect). To address these problems, this work develops a robust Kalman filter to estimate the spatial alumina concentration using voltage measurements and individual anode current data. The proposed method utilises a Huber function to deal with model errors, resulting in more robust estimations. The effectiveness of this approach is validated through experimental data, demonstrating its potential for improving spatial alumina concentration estimation in the aluminium smelting process. |
| Proceedings Inclusion? |
Planned: Light Metals |
| Keywords |
Aluminum, Modeling and Simulation, Other |