Open AccessCalibration of Aircraft Airdata Systems Using Adaptive Filtering Algorithm
Author(s) -
Majeed Mohamed,
Nithin Joy,
Asok Kumar
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1215/1/012010
Subject(s) - extended kalman filter , calibration , kalman filter , computer science , control theory (sociology) , path (computing) , invariant extended kalman filter , algorithm , mathematics , artificial intelligence , statistics , control (management) , programming language
This paper focuses on the calibration of aircraft airdata system to obtain online accurate Angle of Attack(AOA) and Angle of Sideslip (AOSS) from measured quantities contain error. For this purpose, an adaptive version of the extended Kalman filter (EKF) is employed to estimate accurately flight path trajectories of an aircraft. The investigations are made with flight simulated data with turbulence effects. Results are analyzed and found that adaptive EKF provides more accurate results over EKF.