Development of a nonlinear state space model of the forces acting on an aerofoil oscillating in pitch

Research output: Chapter in Book/Report/Conference proceedingConference paper

2 Citations (Scopus)

Abstract

In this article, we develop a nonlinear data-driven model of the aerodynamic force on an aerofoil made to
oscillate in pitch in a wind tunnel under constant flow conditions. The proposed model structure is a polynomial nonlinear state-space model (PNLSS) which is an extension of the classical linear state-space model
with nonlinear functions. In this work, we use experimental data of an aerofoil onto which a pitching motion
is imposed, using a dedicated cyber-physical fluid dynamic (CPFD) setup. The pitch angle is considered
as the input to the system, while the aerodynamic force is considered as the output of the system. Different input signals (single sines, multisines) are considered at different amplitudes and offset angles for the
pitching aerofoil. Results show that the PNLSS model is three times more accurate than the linear model in
minimising the least squares cost function. To the author’s knowledge, this constitutes the first instance of a
fully nonlinear state space model of an oscillating aerofoil developed from experimental measurements.
Original languageEnglish
Title of host publicationProceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics
EditorsD. Moens, W. Desmet, B. Pluymers, W. Rottiers
PublisherISMA 2018
Pages547-557
Number of pages11
ISBN (Electronic)9789073802995
Publication statusPublished - 18 Sep 2018
EventISMA 2018 -
Duration: 17 Sep 201819 Sep 2018
https://www.isma-isaac.be/isma2018/

Publication series

NameProceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics

Conference

ConferenceISMA 2018
Period17/09/1819/09/18
Internet address

Keywords

  • Aerodynamics
  • nonlinear model
  • nonlinear polynomial state space modelling

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