摘要：AbstractThe estimation of accurate values of aircraft flow angles namely angle of attack (AOA) and angle of sideslip (AOSS) is a crucial step in the safe flight operation and aircraft modeling. The airdata measurement is solely dependent on the data from sensors installed on aircraft, and such sensor data is prone to errors due to flow distortion at aircraft body and sensor misalignment. Further, the online estimation of airdata measurement is more cost-effective and is of more relevance in autonomous flight applications. This work focuses on the online estimate of aircraft flow angles in the presence of atmospheric turbulence using an adaptive sequential estimation algorithm. The proposed estimator has the potential to accurately estimate the AOA and AOSS even in the adverse effect of external disturbance like atmospheric turbulence.
