Aircraft State Estimation via KF&AKF Methods

Sever M., Erkec T. Y., Hajiyev C.

10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023, İstanbul, Turkey, 7 - 09 June 2023 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/rast57548.2023.10197936
  • City: İstanbul
  • Country: Turkey
  • Keywords: aircraft, flight dynamics, kalman filters, state vectors
  • Istanbul Technical University Affiliated: Yes

Abstract

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.