Efficient nonlinear reduced-order modeling for synthetic-jet-based control at high angle of attack

Abstract

A low dimensional model for synthetic jet control has been developed which uses Kriging surrogate to predict the unsteady aerodynamic loads and the nonlinearities at high angle of attack. First, parametric analyses are performed by Computational Fluid Dynamics (CFD) to study the effect on the improvement of aerodynamic characteristics for different governing parameters, especially cavity shape. It is found that the proposed cavity shape could enhance the aerodynamic performance of active flow control. Further, for the optimized cavity shape, the nonlinear Reduced-Order Model (ROM) of synthetic jet control is constructed via Kriging surrogate, and the accuracy and efficiency of the proposed ROM are validated by comparing with the direct CFD solutions. The simulation results show that the established ROM can mimic the nonlinear and unsteady aerodynamic response of synthetic jet control accurately without exhaustive computational resources.