Aircraft State Estimation via KF&AKF Methods

The motion analysis of the aircraft is important in avoiding situations that may affect the flight safety, as well as ensuring the continuity of the safe flight of the aircraft. We can analyze the movement of the aircraft and flight dynamics in two situations, longitudinal movement, and lateral move...

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Bibliographic Details
Published in:	2023 10th International Conference on Recent Advances in Air and Space Technologies (RAST) pp. 1 - 6
Main Authors:	Sever, Mert, Erkec, Tuncay Yunus, Hajiyev, Chingiz
Format:	Conference Proceeding
Language:	English
Published:	IEEE 07-06-2023
Subjects:	Adaptive filters Aircraft Autonomous aerial vehicles Dynamics flight dynamics Kalman filters Safety Space technology state vectors
Online Access:	Get full text
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Summary:	The motion analysis of the aircraft is important in avoiding situations that may affect the flight safety, as well as ensuring the continuity of the safe flight of the aircraft. We can analyze the movement of the aircraft and flight dynamics in two situations, longitudinal movement, and lateral movement, including vertical movement. In this study, the motion of the aircraft, given the initial conditions, is investigated by estimating the state vectors by means of the Kalman Filter (KF) and the Adaptive Kalman Filters (AKF) besides a comparison between estimation methods has been made.
DOI:	10.1109/RAST57548.2023.10197936