Robust model calibration of a wind turbine with load uncertainties

Daniel Pereiro (1) , Scott Cogan (2) , Emeline Sadoulet-Reboul (2) , F. Martinez (1)

1 IK4 - IKERLAN [Mondragón]
2 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)

The goal of this work is to explore a model calibration strategy for an industrial problem consisting in a MW class geared wind turbine power train subjected to uncertain loads. Lack of knowledge is commonplace in this kind of engineering system and a realistic model calibration cannot be performed without taking into account this type of uncertainty. The question at stake in this study is how to perform a more robust model of a dynamic system given that the excitations are poorly known. The uncertainty in the latter will be represented with an info-gap model. This methodology is illustrated on a Megawat class wind turbine power train torsional model.

Domaines: Mécanique [physics.med-ph]

Daniel Pereiro, Scott Cogan, Emeline Sadoulet-Reboul, F. Martinez. Robust model calibration of a wind turbine with load uncertainties. 1st Euro-Mediterranean Conference on Structural Dynamics and Vibroacoustics (MEDYNA 2013), Jan 2013, Spain. pp.1 - 4. ⟨hal-00993438⟩