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Pressure-based lift estimation and its application to feedforward load control employing trailing-edge flaps

Authors
  • Bartholomay, Sirko
  • Wester, Tom T. B.
  • Perez-Becker, Sebastian
  • Konze, Simon
  • Menzel, Christian
  • Hölling, Michael
  • Spickenheuer, Axel
  • Peinke, Joachim
  • Nayeri, Christian N.
  • Paschereit, Christian Oliver
  • Oberleithner, Kilian
Publication Date
Dec 17, 2021
Identifiers
DOI: 10.14279/depositonce-14754
OAI: oai:depositonce.tu-berlin.de:11303/15981
Source
DepositOnce
Keywords
Language
English
License
Green
External links

Abstract

This experimental load control study presents results of an active trailing-edge flap feedforward controller for wind turbine applications. The controller input is derived from pressure-based lift estimation methods that rely either on a quasi-steady method, based on a three-hole probe, or on an unsteady method that is based on three selected surface pressure ports. Furthermore, a standard feedback controller, based on force balance measurements, is compared to the feedforward control. A Clark-Y airfoil is employed for the wing that is equipped with a trailing-edge flap of x/c=30% chordwise extension. Inflow disturbances are created by a two-dimensional active grid. The Reynolds number is Re=290 000, and reduced frequencies of k=0.07 up to k=0.32 are analyzed. Within the first part of the paper, the lift estimation methods are compared. The surface-pressure-based method shows generally more accurate results, whereas the three-hole probe estimate overpredicts the lift amplitudes with increasing frequencies. Nonetheless, employing the latter as input to the feedforward controller is more promising as a beneficial phase lead is introduced by this method. A successful load alleviation was achieved up to reduced frequencies of k=0.192. / DFG, 218736457, Experimentelle Untersuchung von Strömungskontrollmethoden zur Lastkontrolle an Windkraftanlagen mittels einer Forschungswindkraftanlage im Windkanal / DFG, 414044773, Open Access Publizieren 2021 - 2022 / Technische Universität Berlin

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