Controlador de pitch híbrido optimizado con algoritmo genético para aerogeneradores flotantes

  1. Carlos L. Serrano-Barreto 1
  2. Matilde Santos 1
  3. Jesús Enrique Sierra-García 2
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

  2. 2 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

Libro:
XLII Jornadas de Automática: libro de actas, Castellón, 1 a 3 de septiembre de 2021

Editorial: Universitat Jaume I ; Servizo de Publicacións ; Universidade da Coruña ; Comité Español de Automática

ISBN: 978-84-9749-804-3

Año de publicación: 2021

Páginas: 197-202

Congreso: Jornadas de Automática (42. 2021. Castellón)

Tipo: Aportación congreso

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Resumen

The control of floating wind turbines (FOWT) is complex due to the size of these turbines, the heavy loads they are subjected to and their strongly nonlinear dynamics. Moreover, the control action of the turbine can influence the stability of the floating device. In this work, an intelligent hybrid controller is designed for pitch control of a floating wind turbine. The objective of the control is to reduce the vibration of the floating device without compromising the power output. Specifically, an intelligent fuzzy controller and a fuzzy implementation of the wind speed-pitch angle relationship are developed. The same is validated with the reference provided by the wind turbine simulation software FAST. In addition, the effects of these different control strategies on the vibrations of the structure are analyzed.

Fuente de los datos: Dialnet