Application of RBF Neural Network PID Controller in the Rectification Column Temperature Control System

Abstract

The temperature control of the rectification column is an important part of distillation process control system. For the time-delay and parameter time-varying characteristics in rectification column temperature control system, it puts forward neural network self-tuning PID controller method which combines the advantages of traditional PID control and neural network radial basis function (RBF). From the simulation experiment results it shows that RBF neural network PID controller gets much better control effect, and it verifies the effectiveness of the proposed method.