Our studies propose novel approaches for using multiple strain data, collected in fiber-optic strain sensors, for aeroelastic shape and dynamic sensing. These include a modal approach to extract wing elastic deformations from strain data for small and large deformation cases, system identification and flutter prediction from strain data, and wing shape control based on strain data. Our latest research (watch Tsoof Joel’s talk below, from the 2023 AIAA SciTech) is on the use of strain data and an aeroelastic model, together in a Kalman State Estimator, for improved estimation of a wing’s deformations in noisy conditions.
More Information
Tsoof Joel’s talk at the 2023 SciTech
People
Tsoof Joels
Collaborators/alums: Arik Drachinsky, Michael Simbuerger, Maxim Freydin, Miko Keren-Rattner
Journal Publications
- M. Simbuerger, D.E. Raveh, and M. Tur, “Aeroelastic Shape Optimization Using Fiber-Optic-Measured Strain Data and Multiple Control-Surfaces,” Journal of Aircraft, 2022.
- A. Drachinsky, M. Freydin, and D.E. Raveh, “Large Deformation Shape Sensing Using a Nonlinear Strain to Displacement Method,” AIAA Journal, Vol. 60, No 9, 2022, pp. 5547–5558, 2022.
- M. Freydin, M. Keren Rattner, D.E. Raveh, R. Davidi, M. Tur, and I. Kressel, “Fiber-Optics-Based Aeroelastic Shape Sensing,” AIAA Journal, Vol. 57, No. 12, 2019, pp. 5094–5103.
Conference Papers
- T. Joels and D.E. Raveh, “Dynamic Shape Sensing of the A3TB Wind Tunnel Model Using Fiber Optics Strain Data and the Kalman State Estimator,” AIAA SciTech, January 2023
- T. Joels and D.E. Raveh, “Wing Dynamic Shape Sensing From Fiber-Optic Strain Data Using the Kalman State Estimator with Process Noise and Measurement Noise Characterization,” International Forum on Aeroelasticity and Structural Dynamics, Madrid, Spain, June 2022.
- T. Joels, and D.E. Raveh, “Wing Dynamic Shape-Sensing From Fiber-Optic Strain Data Using the Kalman State Estimator,” AIAA SciTech, January 2022.
