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Intelligent process control using predictive and pattern recognition techniques

  • US 6,609,119 B1
  • Filed: 06/17/1999
  • Issued: 08/19/2003
  • Est. Priority Date: 03/14/1997
  • Status: Expired due to Term
First Claim
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1. A method for closed loop control of an electrochemical cell having an electrolytic bath resistance, a rate of change over time of the resistance and at least one cell condition, each condition having a characteristic curve described by a non-linear regression function, comprising the steps of:

  • a. using a neural network with a predictive algorithm to predict the bath resistance and its rate of change over time;

    b. using a neural network with a pattern-recognition algorithm to recognize the condition of the cell, wherein each condition is identified with a codebook of associated triggers;

    c. deducing the alumina concentration in the cell on a real-time basis from the resistance and the nonlinear regression function associated with the characteristic curve; and

    d. using the neural networks to operate a closed-loop feeding control mechanism for the cell whereby a controller controls the rate at which a reactant is fed into the electrolytic bath.

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