33th Congress of the International Council of the Aeronautical Sciences

06.1 - Flight Dynamics and Control (Control & Modelling)

LATERAL-DIRECTIONAL AERODYNAMIC MODELLING FOR NUMERICAL RESULTS USING NEURO-FUZZY WITH DIFFERENTIAL EVOLUTION

V.T. Sant' Ana¹, I. Staack, Linköping University, Sweden; R.M. Finzi Neto¹; ¹Federal University of Uberlândia, Brazil

This work has the objective to present an alternative methodology to obtain an unsteady aerodynamic model of an aircraft. The methodology used to accomplish this objective is a computational intelligence technique known as Neuro-Fuzzy, which combines the interpretability of Fuzzy Inference Systems with the adaptability of Artificial Neural Networks. The artificial intelligence technique will be supplied with numerical data acquired in XPLANE flight simulator, using a reduced scale model of the Cessna 182 airplane. After accomplishing the model, validation graphs are built to ensure the reliability of the model.


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