AIRCRAFT SHORT-PERIOD LONGITUDINAL MOTION MODELLING: A COMPARISON OF THEORETICAL, EMPIRICAL AND SEMI-EMPIRICAL APPROACHES

Abstract

A simulation approach is discussed for maneuverable aircraft longitudinal motion as nonlinear controlled dynamical system under multiple and diverse uncertainties including knowledge imperfection concerning simulated plant and its environment exposure. The suggested approach is based on a merging of theoretical knowledge for the plant with training tools of artificial neural network field.

Keywords

• nonlinear dynamical system
• aircraft
• short-period longitudinal motion
• empirical model
• semi-empirical model
• neural network based modeling
• training dataset