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Active flutter suppression for a flexible wing model with trailing-edge circulation control via reinforcement learning
- Source :
- AIP Advances, Vol 13, Iss 1, Pp 015317-015317-7 (2023)
- Publication Year :
- 2023
- Publisher :
- AIP Publishing LLC, 2023.
-
Abstract
- Previous attempts at active flutter suppression have been based on driving the deflection of multiple pairs of discontinuous mechanical control surfaces. Here, we explore the effects of trailing-edge Circulation Control (CC) for flutter control on flexible wings. To avoid the problem that the nonlinear aeroelastic model is difficult to establish accurately, we trained a closed-loop control strategy based on the model-free deep reinforcement learning algorithm through aeroelastic wind tunnel testing. The results show that the strategy can intelligently select the appropriate jet intensity according to the real-time state of the flexible wing. The oscillation amplitude of flutter can be reduced by 92%. The air consumption required for unsteady CC to suppress flutter is reduced by 37% compared to steady CC. This study aims to provide an innovative control method and strategy for active flutter suppression of large aspect ratio flexible wings.
Details
- Language :
- English
- ISSN :
- 21583226
- Volume :
- 13
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- AIP Advances
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.69f6212a466d4c33a7d125f7876db33d
- Document Type :
- article
- Full Text :
- https://doi.org/10.1063/5.0130370