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NEURO MODELING AND CONTROL STRATEGIES FOR A pH PROCESS

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Author(s): E.SIVARAMAN, | S.ARULSELVI

Journal: International Journal of Engineering Science and Technology
ISSN 0975-5462

Volume: 3;
Issue: 1;
Start page: 194;
Date: 2011;
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Keywords: Nonlinear | Inverse | Control | pH | Modeling.

ABSTRACT
The control of pH process has a vast range of applications in wastewater treatment, biochemical and electrochemical processes, the paper and pulp industry and many other areas. Tight control of pH is also critical in the production of pharmaceuticals. However, the dynamics of pH process is highly nonlinear, time varying with change in gain of several orders. It is very difficult to investigate the dynamic behavior of such systems using conventional modeling techniques thereby designing controller parameters. In this paper, a neural network based internal model control is designed for a pH process and its performance is compared with conventional PI controller and inverse neuro control. The forward and inverse neuro models are developed using Levenberg – Marquardt algorithm.
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