Red neuronal artificial evolutiva para el control de temperatura en un reactor batch de polimerización

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Publicado: Jul 1, 2023
Versiones:
2023-07-01 (1)
DOI: https://doi.org/10.17163/ings.n30.2023.07
Palabras clave:
RNA, redes neuronales evolucionadas, función de excitación, PMMA

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Francisco Javier Sánchez-Ruiz
https://orcid.org/0000-0001-6896-5798
Elizabeth Argüelles Hernandez
https://orcid.org/0009-0006-7185-5518
José Terrones-Salgado
https://orcid.org/0000-0003-0393-811X
Luz Judith Fernández Quiroz
https://orcid.org/0009-0002-6435-6551

Resumen

La integración de técnicas de inteligencia artificial introduce nuevas perspectivas en la aplicación de estos métodos. Este trabajo presenta la combinación de redes neuronales y estrategias evolutivas para crear lo que se conoce como redes neuronales artificiales evolutivas (RNAE). Durante el proceso, se modificó la función de excitación de las neuronas para permitir su reproducción asexual. Como resultado, las neuronas evolucionaron y se desarrollaron significativamente. La técnica del controlador de temperatura de un reactor de polimerización por lotes para producir polimetilmetacrilato (PMMA) mediante radicales libres se comparó con dos controles diferentes (PID y GMC), demostrando así la aplicabilidad de los controladores basados en inteligencia artificial. Estos controladores ofrecen mejores resultados que los controladores convencionales sin crear funciones de transferencia al proceso de control representado.

Detalles del artículo

Número
Núm. 30 (2023): julio-diciembre
Sección
Ingeniería Mecánica - Materiales
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