Estimation of Equivalent Aerodynamic Parameters of an Aeroelastic Aircraft using Neural Network

摘要

In this paper, application of neural networks to the problem of aerodynamic modelling and parameter estimation of aeroelastic aircraft has been discussed. A neural modei capable of predicting generalized force and moment coefficients using measured motion and control variables only, without any need for conventional normal elastic variables or their time derivatives, has been proposed. Furthermore, it is shown that neural model with various learning rule can be used to extract equivalent stability and control derivatives of a flexible aircraft. Results are presented for aircraft with different levels of flexibility to demonstrate the utility of neural network approach for both modelling and estimation of parameters.