Parameter estimation of an aeroelastic aircraft using neural networks |
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Authors: | S C Raisinghani A K Ghosh |
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Affiliation: | (1) Department of Aerospace Engineering, Indian Institute of Technology Kanpur, 208016 Kanpur, India |
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Abstract: | Application of neural networks to the problem of aerodynamic modelling and parameter estimation for aeroelastic aircraft is
addressed. A neural model 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, is proposed. Furthermore,
it is shown that such a neural model 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 the neural approach
for both modelling and estimation of parameters. |
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Keywords: | Parameter estimation modelling aeroelastic aircraft neural networks system identification |
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