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

机译：高攻角下基于合成射流的控制的高效非线性降阶建模

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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. (C) 2016 Elsevier Masson SAS. All rights reserved.
机译：已开发出一种用于合成射流控制的低维模型，该模型使用Kriging替代来预测高攻角下的非稳态气动载荷和非线性。首先，通过计算流体动力学（CFD）进行参数分析，以研究不同控制参数（尤其是腔体形状）对改善空气动力学特性的影响。发现所提出的空腔形状可以增强主动流动控制的空气动力学性能。此外，对于优化的腔体形状，通过克里格代理替代法构建了合成射流控制的非线性降阶模型（ROM），并与直接CFD解决方案进行了比较，验证了所提出ROM的准确性和效率。仿真结果表明，所建立的ROM能够准确模拟合成射流控制的非线性和非稳态气动响应，而无需耗费大量的计算资源。 （C）2016 Elsevier Masson SAS。版权所有。

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