NEURAL NETWORK AND GENETIC ALGORITHMS FOR COMPOSITION ESTIMATION AND CONTROL OF A HIGH PURITY DISTILLATION COLUMN

J. Fernandez de Cañete, P. del Saz-Orozco, S. Gonzalez-Perez

2008

Abstract

Many industrial processes are difficult to control because the product quality cannot be measured rapidly and reliably. One solution to this problem is neural network based control, which uses an inferential estimator (software sensor) to infer primary process outputs from secondary measurements, and control these outputs. This paper proposes the use of adaptive neural networks applied both to the prediction of product composition from temperature measurements, and to the dual control of distillate and bottom composition for a continuous high purity distillation column. Genetic algorithms are used to automatically choice of the optimum control law based on the neural network model of the plant. The results obtained have shown the proposed method gives better or equal performances over other methods such fuzzy, or adaptive control.

Paper Citation

in Harvard Style

Fernandez de Cañete J., del Saz-Orozco P. and Gonzalez-Perez S. (2008). NEURAL NETWORK AND GENETIC ALGORITHMS FOR COMPOSITION ESTIMATION AND CONTROL OF A HIGH PURITY DISTILLATION COLUMN . In Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8111-30-2, pages 220-224. DOI: 10.5220/0001498702200224

in Bibtex Style

@conference{icinco08,
author={J. Fernandez de Cañete and P. del Saz-Orozco and S. Gonzalez-Perez},
title={NEURAL NETWORK AND GENETIC ALGORITHMS FOR COMPOSITION ESTIMATION AND CONTROL OF A HIGH PURITY DISTILLATION COLUMN},
booktitle={Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2008},
pages={220-224},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001498702200224},
isbn={978-989-8111-30-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - NEURAL NETWORK AND GENETIC ALGORITHMS FOR COMPOSITION ESTIMATION AND CONTROL OF A HIGH PURITY DISTILLATION COLUMN
SN - 978-989-8111-30-2
AU - Fernandez de Cañete J.
AU - del Saz-Orozco P.
AU - Gonzalez-Perez S.
PY - 2008
SP - 220
EP - 224
DO - 10.5220/0001498702200224