Airspeed computation with ANN using FDR records

Airspeed is one of the most important parameters of the aircrafts. It is measured by the “pitot static system”. It is very difficult to measure true airspeed because of the air pressure varies with altitude and temperature. While TAS can be calculated using air data computer in new generation aircrafts, the computation of the TAS requires utilizing some tables and diagrams using outer air temperature and pressure in other aircrafts. This state causes additional task for pilots. In this study, in order to overcome this problem, an artificial neural network (ANN) model is proposed to calculate TAS using F800 type FDR records of CN-235 CASA aircrafts. The proposed model is also an alternative method that could be used to calculate TAS for new generation aircrafts.