On the averaging in the mMulti-Blade Coordinate transformations for wind turbines: An H-model matching approach

Sebastiaan Paul Mulders, Jan Willem Van Wingerden

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

The blade dynamics of a wind turbine are periodic with the angular position of the rotor. For analysis of these dynamics it is common practice to use the so-called Multi-Blade Coordinate (MBC) transformation in combination with a system matrix averaging technique to obtain a linear time-invariant model. The MBC transformation eliminates the periodicity over a rotation of the rotor, while retaining important blade dynamics. However, in the averaging step the inevitable residual periodic dynamics can result in an inaccurate linear representation. This paper shows the inaccuracy of the state-of-the-art averaging technique using a high fidelity two-bladed wind turbine model. The state-of-the-art technique is compared to two novel averaging methods. Results show a close resemblance of the computed models from the proposed methods to the frequency response average, whereas the conventional method shows erroneous results.

Original languageEnglish
Title of host publication2018 IEEE Conference on Control Technology and Applications (CCTA 2018)
Place of PublicationPiscatawy, NJ, USA
PublisherIEEE
Pages1631-1637
ISBN (Electronic)9781538676981
DOIs
Publication statusPublished - 2018
Event2nd IEEE Conference on Control Technology and Applications, CCTA 2018 - Copenhagen, Denmark
Duration: 21 Aug 201824 Aug 2018

Conference

Conference2nd IEEE Conference on Control Technology and Applications, CCTA 2018
CountryDenmark
CityCopenhagen
Period21/08/1824/08/18

Fingerprint Dive into the research topics of 'On the averaging in the mMulti-Blade Coordinate transformations for wind turbines: An H<sub>∞</sub>-model matching approach'. Together they form a unique fingerprint.

Cite this