LPV Control of Wind Turbines for Fatigue Loads Reduction using Intelligent Micro Sensors
CAMBLONG, Haritza
ESTIA - Institute of technology [ESTIA]
Systems Engineering & Automation Department
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ESTIA - Institute of technology [ESTIA]
Systems Engineering & Automation Department
CAMBLONG, Haritza
ESTIA - Institute of technology [ESTIA]
Systems Engineering & Automation Department
ESTIA - Institute of technology [ESTIA]
Systems Engineering & Automation Department
BRIAND, Renaud
ESTIA - Institute of technology [ESTIA]
Laboratoire de l'intégration, du matériau au système [IMS]
< Réduire
ESTIA - Institute of technology [ESTIA]
Laboratoire de l'intégration, du matériau au système [IMS]
Langue
EN
Communication dans un congrès
Ce document a été publié dans
ACC 07, 2007-07-11, New York.
Résumé en anglais
This paper presents the first results of a research project leaded by LIPSI-ESTIA concerning the association of intelligent micro sensors with advanced wind turbines (WTs) controllers to reduce the overall cost of wind ...Lire la suite >
This paper presents the first results of a research project leaded by LIPSI-ESTIA concerning the association of intelligent micro sensors with advanced wind turbines (WTs) controllers to reduce the overall cost of wind energy. The sensors situated on the blades are above all used to alleviate WT fatigue loads in above rated wind speed operating area. Two multivariable gain-scheduling controllers are designed by minimizing a multiobjective H2/Hinfincriteria. One is associated to a sensor situated in the tower. The second controller is associated to sensors placed at the end of the blades. Some simulations are realized on a model of a two-bladed WT. They show that the second controller with sensors placed on the blades allows considerably alleviating WT fatigue loads.< Réduire
Mots clés en anglais
LPV control
blades
fatigue loads reduction
intelligent microsensors
multiobjective H2/Hinfincriteria
multivariable gain-scheduling controllers
wind energy
wind turbines
Unités de recherche