A Multivariable Control in Aluminum Reduction Cells

Gran, Erik

doi:10.4173/mic.1980.4.4

Cited by 11 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…22 The bath and metal was estimated by nonlinear models of the aluminum electrolysis process like  x = f(x, u, t) and y = (x, u, t), where x is representing the state vector, u the control vector, y the measurement vector, and t the time. Depending on the application, the state vector x and the output y could be a selected set from those given in Figure 8.…”

Section: Estimation Of Bath and Metal Heights Using Inferential Methodsmentioning

confidence: 99%

Beyond the dip stick: Level measurements in aluminum electrolysis

Viumdal

Mylvaganam

2010

JOM

View full text Add to dashboard Cite

Overview AluminumHow would you… …describe the overall signifi cance of this paper? The manual dip stick method is still the prevailing procedure for measuring the electrolyte and molten aluminum levels in an aluminum electrolysis cell. This paper describes existing methods and novel measurement techniques for estimating these crucial parameters to optimize the cell operation. Possible alternative solutions involve both hardware measuring devices and inferential methods.…describe this work to a materials science and engineering professional with no experience in your technical specialty?The aluminum electrolysis cell has different interfaces involving cryolite crust, molten cryolite, and the molten aluminum. In addition the interfaces between the anode and the molten cryolite and the molten aluminum and the cathode also restrict the actual volume available for the cell. Having reliable and accurate information on these interfaces is important in optimizing the performance of the electrolysis cell. The paper provides an overview and gives some suggestions for implementing new measurement strategies. Broadly, these methods can be classifi ed into two categories: methods based on innovative physical equipment with the necessary sensors and transducers, and inferential methods which exploit existing measurement data. The fi r st category encompasses many physical and chemical disciplines, whereas the second relies on inferential methods employing approaches sometimes called soft computing or soft sensors. Both approaches are presented and discussed in this paper.

show abstract

Section: Estimation Of Bath and Metal Heights Using Inferential Methodsmentioning

confidence: 99%