An Approach to Optimal Control of the Combustion System in a Reverberatory Furnace

  • Henry Copete-López Instituto Tecnológico Metropolitano, Medellín
  • Santiago Sánchez-Acevedo Instituto Tecnológico Metropolitano, Medellín
DOI: https://doi.org/10.22430/22565337.233
Keywords: Reverberatory furnace, combustion, digital control, neural networks, optimal control.
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Abstract

In this work an optimal control technique is applied to control the excess air in the combustion process of a reverberatory furnace by the monitoring of O2 percentage in the stack, the controller is designed based on a nonlinear model estimated by artificial neural networks and a data base is used for the previous training; the data base has two subsets one for training and other to validate the net.

Author Biographies

Henry Copete-López, Instituto Tecnológico Metropolitano, Medellín
M.Sc. Ingeniero Mecánico. Grupo GITER. Docente Investigador, Instituto Tecnológico Metropolitano, Medellín
Santiago Sánchez-Acevedo, Instituto Tecnológico Metropolitano, Medellín
M.Sc. Ingeniero Electricista. Grupo MIRP. Docente Investigador, Instituto Tecnológico Metropolitano, Medellín
How to Cite
[1]
H. Copete-López and S. Sánchez-Acevedo, “An Approach to Optimal Control of the Combustion System in a Reverberatory Furnace”, TecnoL., no. 23, pp. 13–29, Dec. 2009.

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Published
2009-12-20
Issue
Num. 23 (2009)
Section
Articles
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