Intelligent control of aluminium reduction cells using...

Details Intelligent control of aluminium reduction cells using... Intelligent control of aluminium reduction cells using...

G - Physics

06

F

G06F 15/18 (2006.01) C25C 3/20 (2006.01) G05B 13/02 (2006.01) G06F 15/163 (2006.01) H01M 10/04 (2006.01)

Patent

CA 2230882

A neural control logic scheme based on prediction and pattern recognition techniques is used to control electrochemical processes such as aluminum electrolytic cells. The predictive capacity of feedforward neural networks is used to predict the future values of decision variables to be used by the cell's control logic, enabling the control logic to apply anticipated actions to cells at different states, thus avoiding anode effects and improving cell stability. The pattern-recognition capacity of LVQ-type neural networks is used to provide a closed-loop control structure to the feeding of the cell as a function of cell resistance, alumina concentration and cell state. The closed-loop control structure enables the cell to operate at a near- optimal regime regardless of cell state.

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