LPV Control of Wind Turbines for Fatigue Loads Reduction using Intelligent Micro Sensors
type: Dataset
description: 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.
issued: 2026-05-26T04:42:37.938210
language: en
modified: 2026-05-26T04:42:37.938217
contact point: Organization
  fn: CCSD
keyword: blades
keyword: conference-papers
keyword: fatigue-loads-reduction
keyword: infoeu-reposemanticsconferenceobject
keyword: intelligent-microsensors
keyword: lpv-control
keyword: multiobjective-h2hinfincriteria
keyword: multivariable-gain-scheduling-controllers
keyword: spiautoengineering-sciences-physicsautomatic
keyword: wind-energy
keyword: wind-turbines
landing page: ACC 07

LPV Control of Wind Turbines for Fatigue Loads Reduction using Intelligent Micro Sensors
type: Distribution
format: HTML
issued: 2026-05-26T04:42:37.958199
modified: 2026-05-26T04:42:37.893119
access URL: https://hal.science/hal-00675519

test_moissonnage_selune
type: Agent