US 11,747,360 B2
Neural network system whose training is based on a combination of model and flight information for estimation of aircraft air data
Bruno Javiel Carvalho, São José dos Campos (BR); Gustavo José Zambrano, São José dos Campos (BR); Leandro Fernandes Bergamo, São José dos Campos (BR); and Juliano de Melo Lustosa, São José dos Campos (BR)
Assigned to Embraer S.A., São José dos Campos (BR)
Appl. No. 16/754,999
Filed by EMBRAER S.A., São José dos Campos (BR)
PCT Filed Oct. 11, 2017, PCT No. PCT/BR2017/000121
§ 371(c)(1), (2) Date Apr. 9, 2020,
PCT Pub. No. WO2019/071327, PCT Pub. Date Apr. 18, 2019.
Prior Publication US 2020/0309810 A1, Oct. 1, 2020
Int. Cl. G01P 13/02 (2006.01); G01C 23/00 (2006.01); G01P 5/14 (2006.01); G01P 21/02 (2006.01); G05D 1/10 (2006.01)
CPC G01P 13/025 (2013.01) [G01C 23/00 (2013.01); G01P 5/14 (2013.01); G01P 21/025 (2013.01); G05D 1/101 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A method generating estirnated air speed data and/or dynamic pressure comprising kinetic energy per unit volume of fluid moving around the aircraft, comprising:
on board an aircraft, using only plural sensors that do not depend on any measurement of total pressure or static pressure to sense a set of sensed parameters other than air data based on air flow pressure measurements, the set of sensed parameters consisting essentially of:
(a) Estimated aircraft weight,
(b) Ground Speed (GS),
(c) Geometric Altitude,
(d) Angle of Trajectory (Gamma),
(e) Angle of Attitude (Theta),
(f) Longitudinal Acceleration Load Factor (Nx),
(g) Lateral Acceleration Load Factor (Ny),
(h) Vertical Acceleration Load Factor (Nz),
(i) Delta Temperature from Standard Atmosphere or Total Air Temperature, and
(j) Engine's Magnitude of Thrust; and
with at least one processor connected to the plural sensors, operating a trained neural network on board the aircraft to estimate air speed data and/or dynamic pressure comprising kinetic energy per unit volume of fluid moving around the aircraft based on said set of sensed parameters other than air data based on air flow pressure measurements and without requiring measurements by pilot tubes or other sensors that measure total pressure or static pressure based on pressure lines that may be blocked by unintended objects.