Flush Airdata System on a Flying Wing Based on Machine Learning Algorithms

By using an array of pressure sensors distributed on the surface aircraft to measure each port, flush airdata sensing (FADS) system is widely applied in many modern and unmanned aerial vehicles (UAVs). Normally, transducers FADS should be mounted leading edge aircraft, where they are sensitive changes pressure. For UAVs, however, nose wing may not available for transducers. In addition, number limited 8–10, making it difficult maintain accuracy normal method systems. An model flying was developed, were all located outside regions areas. The locations selected by mean impact value (MIV), ensemble neural networks developed predict with a very Furthermore, error detection also based artificial random forests. can accurately detect malfunctioning port use correct combination Mach number, angle attack, sideslip high accuracy.