Estimation and Prediction of Nonlinear Aerodynamics using Artificial Intelligence

Abstract

Flight maneuvers can generate nonlinear and unsteady aerodynamic loading. Artificial Neural Networks (ANN) and Adaptive Neuro Fuzzy Logic Inference System (ANFIS) are developed to model and predict aerodynamics coefficient under different values for angle of attack. The system is developed to model the unsteady aerodynamic normal force and the pitch moment coefficients. Based on the extensive analysis of the proposed identification methods, the artificial intelligence models showed low mean square errors in modeling and prediction results.