Flight Dynamics Modeling with Multi-Model Estimation Techniques: A Consolidated Framework

Abstract In modern era of aviation technology evolution, unmanned aerial vehicles have proved to be crucial in all fields including military and research. The development robust control system successful mission accomplishment requires an meticulous UAV model. aim this paper is lay out elaborate model estimation scheme using various structure techniques Auto-regressive Exogenous, Moving Average exogenous, Box Jenkin’s, Output Error, state space non-linear Exogenous. obtained models are then analyzed compared for best quality parameters like residual analysis, final prediction error fit percentages. efficacy developed through proposed further validated simulations data UAV. Results demonstrate the model’s feasibility as it properly predicts performance over a broad variety operating situations. To our knowledge, first time literature that study platform with such wide structures has been presented.