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Authors: Armando Rivadeneyra Bardales 1 ; Danilo Soares Barboza 2 ; William Ipanaqué 1 and Martin Flores 1

Affiliations: 1 Universidad de Piura, Peru ; 2 Universidad de Santa Catarina, Brazil

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Modeling, Simulation and Architectures ; Neural Networks Based Control Systems ; Robotics and Automation

Abstract: Neural Network Model Based Predictive Control (MPC) has become a good choice of control strategy in many cases especially in the process industry because it could face non linearities and cross coupling variables [6], being modeling the first step to achieve this end. The model of a gasifier, provided by ALSTOM Power Technology Centre, is of an industrial standard and has been validated against a set of real data from test facilities. This makes the challenge all the more relevant to practicing engineers. The paper sets out the specifications and describes the design and performance of neural networks modeling and presents a neural network approach to model the ALSTOM Benchmark Challenge gasifier. This is a complex non-linear process, with a high degree of cross coupling of the variables, manual control is difficult.

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Paper citation in several formats:
Rivadeneyra Bardales, A.; Soares Barboza, D.; Ipanaqué, W. and Flores, M. (2005). Neural Network Modeling for ALSTOM Gasifier. In Proceedings of the 1st International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2005) - ANNIIP; ISBN 972-8865-36-8, SciTePress, pages 94-102. DOI: 10.5220/0001182600940102

@conference{anniip05,
author={Armando {Rivadeneyra Bardales}. and Danilo {Soares Barboza}. and William Ipanaqué. and Martin Flores.},
title={Neural Network Modeling for ALSTOM Gasifier},
booktitle={Proceedings of the 1st International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2005) - ANNIIP},
year={2005},
pages={94-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001182600940102},
isbn={972-8865-36-8},
}

TY - CONF

JO - Proceedings of the 1st International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2005) - ANNIIP
TI - Neural Network Modeling for ALSTOM Gasifier
SN - 972-8865-36-8
AU - Rivadeneyra Bardales, A.
AU - Soares Barboza, D.
AU - Ipanaqué, W.
AU - Flores, M.
PY - 2005
SP - 94
EP - 102
DO - 10.5220/0001182600940102
PB - SciTePress

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