DocumentCode
2019416
Title
Characterization of Electrolytic Pot Signal by Autoregressive Model with Exogenous Input
Author
Nagem, Nilton Freixo ; Silva, Antonio José da ; Neto, Joao Viana da Fonseca
Author_Institution
Lab. of Process Control Sao Luis, Fed. Univ. of Maranhao, Sao Luis
fYear
2009
fDate
25-29 May 2009
Firstpage
298
Lastpage
303
Abstract
The indirect estimation of the alumina bulk concentration in the electrolyte is important to keep the right operational condition that avoids anode effects and maximizes current efficiency. Vertical Stub Soderberg (VSS) Side Break has a feed cycle every two hours with a fix amount of alumina and the actual feed adjustment is done in a manual daily basis.These feed conditions are very hard to control; based on Prebaked feed control strategy, the resistance control can be slip in two working regions eg. high alumina concentration and low alumina concentration. From the voltage (output) and current (input) signals and based on Systems Identification Theory, the ARX models of the electrolytic pots. The selected transfer functions of the electrolytic pot are used to perform the steady state representation of the resistance working region. Therefore, this paper shows our latest investigation on parametric ARX models that represent the behavior of the plant.
Keywords
alumina; aluminium manufacture; autoregressive processes; electrolytes; process control; Al2O3; Prebakedfeed control strategy; alumina bulk concentration; autoregressive model; electrolytic pot signal; eletrolyte; exogenous input; systems identification theory; vertical stub soderberg side break; Anodes; Feeds; Signal processing; Steady-state; System identification; Transfer functions; Variable structure systems; Voltage; Alumina Feed Control; Autoregressive Model with Exogenous Input; Parametric modeling of Dynamic Systems; Vertical Stub Soderberg Side Break;
fLanguage
English
Publisher
ieee
Conference_Titel
Modelling & Simulation, 2009. AMS '09. Third Asia International Conference on
Conference_Location
Bali
Print_ISBN
978-1-4244-4154-9
Electronic_ISBN
978-0-7695-3648-4
Type
conf
DOI
10.1109/AMS.2009.104
Filename
5072000
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