Eventos Anais de eventos
COBEM 2021
26th International Congress of Mechanical Engineering
Model based airflow angle estimation using GPS/INS sensor fusion and application to unmanned aircraft vehicle
Submission Author:
Lucas Moraes Santos , SP
Co-Authors:
Lucas Moraes Santos, Luiz Carlos Góes, Juliano A. B. Gripp
Presenter: Lucas Moraes Santos
doi://10.26678/ABCM.COBEM2021.COB2021-0179
Abstract
This work presents two methods for estimating the True Airspeed, Angle of Attack, and Sideslip Angle of a fixed-wing aircraft, using data from inertial sensors. The first estimation method was based on approximations of the aircraft vertical and lateral accelerations to synthesize Angle of Attack and Sideslip Angle data. The estimation of the True Airspeed for this method was made based on the approximation of the inertial speed. The second estimation method was based on the Extended Kalman Filter, a near-optimal state estimator for non-linear systems. With this Filter, aside from the True Airspeed, Angle of Attack, and Sideslip Angle, it was possible to estimate the Wind Speed and Direction. The estimation techniques were tested using synthetic flight data produced from flight simulations, and using flight test data. Simulations ran in MATLAB®, solving the dynamic equations and employing the aerodynamic model for the C2 Unmanned Aerial Vehicle. The flight test data was also from the C2 UAV. The estimation results for the two methods are presented, compared, and discussed.
Keywords
Synthetic air data, airflow angle estimation, unmaned air vehicle
