Neural network based method for estimating helicopter low airspe

Data processing: measuring – calibrating – or testing – Measurement system – Speed

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364158, 73178H, 706 25, G01C 2110

Patent

active

058901019

ABSTRACT:
The invention is directed to a system, utilizing a neural network, for estimating helicopter airspeed in the low airspeed flight range of below about 50 knots using only fixed system parameters as inputs to the neural network. The method includes the steps of: (a) defining input parameters derivable from variable state parameters generated during flight of the helicopter and measurable in a nonrotating reference frame associated with the helicopter; (b) determining the input parameters and a corresponding helicopter airspeed at a plurality of flight conditions representing a predetermined low airspeed flight domain of the helicopter; (c) establishing a learned relationship between the determined input parameters and the corresponding helicopter airspeed wherein the relationship is represented by at least one nonlinear equation; (d) storing the at least one nonlinear equation in a memory onboard the helicopter; (e) measuring real time values of the variable state parameters during low airspeed flight of the helicopter; (f) calculating real time values of the input parameters; (g) storing the real time values of the input parameters in the memory; (h) processing the real time values of the input parameters in accordance with the at least one nonlinear equation to determine real time airspeed; and (i) displaying the real time airspeed.

REFERENCES:
patent: 4023409 (1977-05-01), Durand
patent: 4300200 (1981-11-01), Doe
patent: 4702106 (1987-10-01), Hassenpflug et al.
patent: 4794793 (1989-01-01), Farre et al.
patent: 4829441 (1989-05-01), Mandle et al.
patent: 4893261 (1990-01-01), Flint, III et al.
patent: 5063777 (1991-11-01), Arethens et al.
patent: 5121325 (1992-06-01), DeJonge
patent: 5214596 (1993-05-01), Muller
patent: 5225829 (1993-07-01), Bateman
patent: 5457634 (1995-10-01), Chakravarty
patent: 5751609 (1998-05-01), Schaefer, Jr.
McCool, Kelly M., David J. Haas and Carl G. Schaefer Jr., "A Neural Newtork ased Approach to Helicopter Low Airspeed and Sideslip Angle Estimation," Proceedings of American Institute of Aeronautics and Astronautics Flight Simulation Technologies Conference, Paper No. 96-3481 (Jul. 29-31, 1996) pp. 91-101.

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