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Abstract
Understanding unsteady aerodynamic forces on a lifting surface is crucial for many engineering applications. This work demonstrates the use of system identification techniques for the data-driven modelling of the aerodynamic lift force on a pitching wing. This lift force can be considered as a (nonlinear) dynamic function of the angle of attack. The proposed approach consists of multiple steps: 1) excitation by the means of broadband excitation, 2) pre-processing of the measurement, and 3) data-driven modelling techniques. The considered excitation signal is the so-called multisine (also known as periodic pseudo- random noise). However, dynamic stall is known to exhibit important cluster-to-cluster variations and this is no different when utilizing multisines. Therefore, we cluster the data before the actual data-driven Preliminary proceedings modeling and validation. We show that the obtained models can capture the nonlinear aerodynamic forces more accurately than the classical linear and semi-empirical models.
Original language | English |
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Title of host publication | Conference proceedings of 2022 ISMA International Conference on Noise and Vibration Engineering |
Publisher | KU Leuven |
Number of pages | 10 |
Publication status | Published - 12 Sep 2022 |
Event | 2022 ISMA International Conference on Noise and Vibration Engineering - KU Leuven, Leuven, Belgium Duration: 12 Sep 2022 → 14 Sep 2022 http://past.isma-isaac.be/isma2022/proceedings/program/ |
Conference
Conference | 2022 ISMA International Conference on Noise and Vibration Engineering |
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Country/Territory | Belgium |
City | Leuven |
Period | 12/09/22 → 14/09/22 |
Internet address |
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Dive into the research topics of 'Using a broadband multisine excitation signal for the data-driven modeling of the unsteady lift force on a pitching wing'. Together they form a unique fingerprint.Projects
- 1 Finished
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SRP60: SRP-Groeifinanciering: A system identification framework for multi-fidelity modelling
De Troyer, T., Runacres, M., Blondeau, J., Bram, S., Bellemans, A. & Contino, F.
1/03/19 → 29/02/24
Project: Fundamental