Estrategias de control estructural basadas en amortiguadores magnetoreológicos administrados utilizando redes neuronales y lógica difusa

  • Luis Lara University of Brasília, Brazil
  • José Brito Universidad Nacional de Colombia
  • Carlos Alberto Graciano Gallego Universidad Nacional de Colombia Facultad de Minas- Sede Medellín Departamento de Ingeniería Civil

Resumen

En este trabajo se presenta una evaluación numérica sobre el desempeño de dos estrategias de control estructural basado en amortiguadores magnetoreológicos (MR).  En primer lugar, se empleó una estrategia de control basada en redes neuronales artificiales en una estructura simple para el control de vibraciones.  Este controlador combina una función de modelo predictivo para las fuerzas de control y un modelo inverso del cálculo de la tensión para manejar los amortiguadores MR. En segundo lugar, se utilizó una estrategia de control basada en lógica difusa. De esta forma, el controlador gobierna las acciones de un conjunto de reglas que representan la heurística del sistema a controlar.  Los resultados de las simulaciones numéricas indican que el rendimiento de estas dos estrategias de control es prometedor y satisfactorio, basado en la reducción de la respuesta de hasta un 83% en relación con el rendimiento del sistema sin control.

Palabras clave: Control de estructuras, reducción de vibraciones, amortiguadores magnetoreológicos, redes neuronales artificiales, lógica difusa

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Publicado
2017-05-15
Cómo citar
LARA, Luis; BRITO, José; GRACIANO GALLEGO, Carlos Alberto. Estrategias de control estructural basadas en amortiguadores magnetoreológicos administrados utilizando redes neuronales y lógica difusa. Revista UIS Ingenierías, [S.l.], v. 16, n. 2, p. 227-242, mayo 2017. ISSN 2145-8456. Disponible en: <http://revistas.uis.edu.co/index.php/revistauisingenierias/article/view/6292>. Fecha de acceso: 18 dic. 2017