Process Control Using n Neural Network Combined with the Conventional PID Controllers

  • Lee, Moonyong (School of Chemical Engineering and Technology, Yeungnam University) ;
  • Park, Sunwon (Dept. of Chemical Engineering, KAIST)
  • Published : 2000.09.01

Abstract

A neural controller for process control is proposed that combines a conventional multi-loop PID controller with a neural network. The concept of target signal based on feedback error is used fur on-line learning of the neural network. This controller is applied to distillation column control to illustrate its effectiveness. The result shows that the proposed neural controller can cope well with disturbance, strong interactions, time delays without any prior knowledge of the process.

Keywords

References

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