Mitigación de vibraciones con control del flujo de aire basado en GA-ANFIS de una turbina eólica marina flotante híbrida con columnas de agua oscilantes

Fares M'zoughi; Payam Aboutalebi; Irfan Ahmad; Tahereh Bagheri Rouch; Izaskun Garrido; Aitor J. Garrido

doi:10.17979/ja-cea.2024.45.10975

Autores/as

Fares M'zoughi University of the Basque Country (UPV/EHU)
Payam Aboutalebi University of the Basque Country (UPV/EHU)
Irfan Ahmad University of the Basque Country (UPV/EHU)
Tahereh Bagheri Rouch University of the Basque Country (UPV/EHU)
Izaskun Garrido University of the Basque Country (UPV/EHU)
Aitor J. Garrido University of the Basque Country (UPV/EHU)

DOI:

https://doi.org/10.17979/ja-cea.2024.45.10975

Palabras clave:

Neural and fuzzy adaptive control, Turbinas eólicas flotantes, Aprendizaje para el control, Algoritmos evolutivos, columna de agua oscilante

Resumen

Este artículo presenta un enfoque novedoso para modelar y estabilizar una turbina eólica marina flotante (FOWT) mediante el empleo de columnas de agua oscilantes (OWC) como sistema de control estructural activo. El concepto innovador implica diseñar una nueva plataforma flotante similar a una barcaza con OWC integrados en lados opuestos de la plataforma para mitigar las oscilaciones no deseadas del sistema. Estos OWC contrarrestan las fuerzas de flexión provocadas por el viento en la torre y las olas en la plataforma de la barcaza. Para sincronizar las fuerzas opuestas con la inclinación del sistema, se emplea una estrategia de control de flujo de aire basada en un sistema de inferencia neurodifusa adaptativa de algoritmo genético. Mediante la manipulación del ángulo de inclinación de la plataforma de la barcaza, el sistema de control de flujo de aire GA-ANFIS ajusta las válvulas en cada lado, abriendo una y cerrando la otra en consecuencia.

Citas

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