Neural Network Modeling for ALSTOM Gasifier

Armando Rivadeneyra Bardales, Danilo Soares Barboza, William Ipanaqué, Martin Flores

2005

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.

References

  1. Dixon R., A.W. Pike and M. S. Donne, “The ALSTOM benchmark challenge on gasifier control”. Proc. Instn. Mech. Eng., Part I, J of Syst and Cont Eng, 214, (16), 2000, pp 389- 394.
  2. Eng., Part I Journal of Systems and Control Engineering, 214, (16), 2000.
  3. Dixon,R., 2002, “Alstom Benchmark Challenge II: Control of a Non-Linear Gasifier Model”, ALSTOM, available from http://www.iee.org/OnComms/PN/controlauto/Specification_v2.pdf Dixon R., A.W. Pike (2004), Introduction to the 2nd Alstom BenchmarkChallenge on Gasifier Control. University of Bath, ID-255 UK, Loughborough University, LE11 3TU, UK.
  4. Ljung, L (1987). “System identification”. Prentice Hall, Englewood cliffs, NJ.
  5. Howard Demuth, Mark Beale, “Neural Network Toolbox User's Guide Version 3.0”, Neural Network Toolbox 4.0.1, http://www.mathworks.com
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Paper Citation


in Harvard Style

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 - Volume 1: ANNIIP, (ICINCO 2005) ISBN 972-8865-36-8, pages 94-102. DOI: 10.5220/0001182600940102


in Bibtex Style

@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 - Volume 1: ANNIIP, (ICINCO 2005)},
year={2005},
pages={94-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001182600940102},
isbn={972-8865-36-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2005)
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