A novel approach to predict the unsteady aerodynamic behavior of a delta wing undergoing pitching motion

In this paper, a new approach based on generalized regression neural networks (GRNNs) has been proposed to predict the unsteady forces and moments on a 70deg swept wing undergoing sinusoidal pitching motion. Extensive wind tunnel testing results were being used for training the network and also for verification of the values predicted by this approach. The generalized regression neural network (GRNN) has been trained by the aforementioned experimental data and subsequently was used as a prediction tool to determine the unsteady longitudinal coefficient of the pitching delta wing for various reduced frequencies. The obtained results are in a good agreement with those determined by an experimental method

[1]  James L. Rogers,et al.  Aerodynamic performance optimization of a rotor blade using a neural network as the analysis , 1992 .

[2]  Sun-Yuan Kung,et al.  Digital neural networks , 1993, Prentice Hall Information and System Sciences Series.

[3]  L. Ericsson.  Vortex unsteadiness on slender bodies at high incidence , 1986 .

[4]  E. Parzen.  On Estimation of a Probability Density Function and Mode , 1962 .

[5]  William E. Faller,et al.  Real-time prediction of unsteady aerodynamics: Application for aircraft control and manoeuvrability enhancement , 1995, IEEE Trans. Neural Networks.

[6]  Mohammad Reza Soltani.  An experimental study of the relationship between forces and moments and vortex breakdown on a pitching delta wing , 1992 .

[7]  T. Cacoullos.  Estimation of a multivariate density , 1966 .

[8]  Donald F. Specht,et al.  A general regression neural network , 1991, IEEE Trans. Neural Networks.

[9]  Andy P. Broeren,et al.  Flowfield Measurements over an Airfoil During Natural Low-Frequency Oscillations near Stall , 1999 .

[10]  M. Soltani,et al.  A simple analytical method for predicting the amplitude and frequency of a delta wing model undergoing rocking motion , 2002 .

[11]  W. H. Wentz,et al.  Vortex breakdown on slender sharp-edged wings , 1969 .

[12]  James E. Steck,et al.  Application of an artificial neural network as a flight test data estimator , 1995 .

[13]  Robert C. Nelson,et al.  Vortex breakdown measurements on a 70 Deg sweepback delta wing , 1988 .

[14]  Ismet Gursul,et al.  Nonlinear Response of Vortex Breakdown over a Pitching Delta Wing , 1999 .

[15]  J. H. Strickland,et al.  An Experimental Investigation of an Airfoil Undergoing Large-Amplitude Pitching Motions , 1985 .

[16]  James E. Steck,et al.  Application of an artificial neural network as a flight test data estimator , 1995 .