Unmanned air vehicle air data estimation using a matrix of pressure sensors: a comparison of neural networks and look-up tables

Flush airdata sensing (FADS) systems are cost- and weight- effective alternatives to current air data booms for measuring important air data parameters such as airspeed, angle of attack, sideslip, etc. Most applications consider large manned/unmanned air vehicles where the Pitot-static tube is locat...

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Veröffentlicht in:	Proceedings of the Institution of Mechanical Engineers. Part G, Journal of aerospace engineering Journal of aerospace engineering, 2011-07, Vol.225 (7), p.807-820
Hauptverfasser:	Samy, I, Postlethwaite, I, Gu, D-W
Format:	Artikel
Sprache:	eng
Schlagworte:	Aerospace engineering Aircraft Airspeed Angle of attack Booms Booms (equipment) Comparative analysis Detection Estimating techniques Faults Fuel consumption Instruments Matrix Micro air vehicles (MAV) Neural networks Nose Nose tips Pressure sensors Robustness Sideslip Static pressure System effectiveness Tables Unmanned aerial vehicles Vehicles Weight reduction
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