Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.04433 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866909611682955264 |
|---|---|
| author | Dessena, Gabriele Pontillo, Alessandro Civera, Marco Ignatyev, Dmitry I. Whidborne, James F. Fragonara, Luca Zanotti |
| author_facet | Dessena, Gabriele Pontillo, Alessandro Civera, Marco Ignatyev, Dmitry I. Whidborne, James F. Fragonara, Luca Zanotti |
| contents | Predicting flutter remains a key challenge in aeroelastic research, with certain models relying on modal parameters, such as natural frequencies and damping ratios. These models are particularly useful in early design stages or for the development of small Unmanned Aerial Vehicles (maximum take-off mass below 7 kg). This study evaluates two frequency-domain system identification methods, Fast Relaxed Vector Fitting (FRVF) and the Loewner Framework (LF), for predicting the flutter onset speed of a flexible wing model. Both methods are applied to extract modal parameters from Ground Vibration Testing data, which are subsequently used to develop a reduced-order model with two degrees of freedom. Results indicate that FRVF and LF-informed models provide reliable flutter speed, with predictions deviating by no more than 3% (FRVF) and 5% (LF) from the N4SID-informed benchmark. The findings highlight the sensitivity of flutter speed predictions to damping ratio identification accuracy and demonstrate the potential of these methods as computationally efficient alternatives for preliminary aeroelastic assessments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_04433 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Damping Identification Sensitivity in Flutter Speed Estimation Dessena, Gabriele Pontillo, Alessandro Civera, Marco Ignatyev, Dmitry I. Whidborne, James F. Fragonara, Luca Zanotti Systems and Control Numerical Analysis Predicting flutter remains a key challenge in aeroelastic research, with certain models relying on modal parameters, such as natural frequencies and damping ratios. These models are particularly useful in early design stages or for the development of small Unmanned Aerial Vehicles (maximum take-off mass below 7 kg). This study evaluates two frequency-domain system identification methods, Fast Relaxed Vector Fitting (FRVF) and the Loewner Framework (LF), for predicting the flutter onset speed of a flexible wing model. Both methods are applied to extract modal parameters from Ground Vibration Testing data, which are subsequently used to develop a reduced-order model with two degrees of freedom. Results indicate that FRVF and LF-informed models provide reliable flutter speed, with predictions deviating by no more than 3% (FRVF) and 5% (LF) from the N4SID-informed benchmark. The findings highlight the sensitivity of flutter speed predictions to damping ratio identification accuracy and demonstrate the potential of these methods as computationally efficient alternatives for preliminary aeroelastic assessments. |
| title | Damping Identification Sensitivity in Flutter Speed Estimation |
| topic | Systems and Control Numerical Analysis |
| url | https://arxiv.org/abs/2503.04433 |