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Process control using neural network

  • US 5,111,531 A
  • Filed: 01/08/1990
  • Issued: 05/05/1992
  • Est. Priority Date: 01/08/1990
  • Status: Expired due to Fees
First Claim
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1. A control system for a continuous physical process characterized by directly controlled process variables and indirectly controlled process variables, said variables having current values and having had historical values that define the state of the physical process wherein the current values of directly controlled process variables are measured and wherein the current value of at least one indirectly controlled process variable is controlled indirectly by control of the current values of a plurality of directly controlled process variables comprising:

  • control means responsive to set point values for establishing the current values of the directly controlled process variables at said set point values applied to said control means,means for implementing a trainable neural network having a plurality of input neurons for having input values applied thereto and at least one output neuron for providing an output value,means for training the neural network to provide a predicted value for the at least one indirectly controlled process variable at an output neuron, said predicted value corresponding to the input values of the neural network,means for measuring the values of directly controlled process variables,means for establishing and continuously updating a computer database to store the current and historical values of measured process variables,computer means for establishing the input values at the input neurons of the neural network based upon the values of process variables stored in the computer database,computer means for establishing set point values to be applied to control means based upon values at an output neuron,said control system so constructed and arranged that said computer means for establishing set point values, after the neural network has been trained to predict the value of the at least one indirectly controlled process variable, changes at least one set point value to cause the predicted value of the at least one indirectly controlled process variable to approach a desired value.

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