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  • 标题:State and Parameter Estimation in Hall-Héroult Cells using Iterated Extended Kalman Filter ⁎
  • 本地全文:下载
  • 作者:Yuchen Yao ; Jie Bao
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:21
  • 页码:36-41
  • DOI:10.1016/j.ifacol.2018.09.389
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe measurement of individual anode currents in the Hall-Héroult process provides localized information that can be used to improve cell operation. One promising application is to estimate the local cell conditions, which are impracticable to measure regularly during the cell operation. This paper presents an approach to estimation of localized state variables and process variables, including the alumina concentration, anode-cathode distance and bath flow rate. This is achieved by using the Iterated Extended Kalman Filter (IEKF) with a discretized Hall-Héroult cell model. The results show that the proposed IEKF can produce more accurate estimation of the state variables and parameters compared to the conventional Extended Kalman Filter thanks to its robustness to ill-set initiation conditions.
  • 关键词:KeywordsHall-Héroult processindividual anode currentstate estimationparameter estimationIterated Extended Kalman Filter
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