An Approach of Neural Network Model for IMC Based PI Controller for a Nonlinear pH Process

Abstract

Due to the extreme significant nonlinearities in the system's behaviour, pH regulation is one of the most difficult issues in the process industry. Various ways to pH control have been proposed in the literature. The regulation of pH using an internal model controller for a pH process based on a neural network model is proposed in this paper.  Modeling the pH process is thought to be a tough undertaking since it requires understanding of the components and their nature in the process stream to simulate its dynamics. In this paper, a neural network model based on the first principle equation of nonlinear pH is suggested and applied to effectively control the pH process utilising IMC based PI.