Previous attempts at active flutter suppression have been based on driving the deflection of multiple pairs of discontinuous mechanical control surfaces.Here, Shoes 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 Backlight steady CC.This study aims to provide an innovative control method and strategy for active flutter suppression of large aspect ratio flexible wings.