Aerospace, Volume 7, Issue 11
2020 November - 14 articles
Cover Story: The application of reduced-order modeling (ROM) techniques in the context of aerodynamic and aeroelastic nonlinear system identification has gained increasing attention in recent years. Therefore, the present study introduces the application of a recurrent neuro-fuzzy model (NFM) that is serially connected with a multilayer perceptron (MLP) neural network for the computation of transonic aileron buzz. The training of the ROM is accomplished based on a computational fluid dynamics (CFD) data set. For performance evaluation, a 2D aeroelastic model of the NACA651213 airfoil with integrated aileron is investigated at different buzz conditions. A comparison of the ROM and CFD results yields a precise prediction capability. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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