Neural network based helicopter low airspeed indicator

Details Neural network based helicopter low airspeed indicator Neural network based helicopter low airspeed indicator

1996-10-24

1999-05-04

MacDonald, Allen R.

Data processing: artificial intelligence

Neural network

Structure

706 17, 706 21, 701 7, G06F 1518

Patent

active

059012722

ABSTRACT:
The invention is directed to means, utilizing a neural network, for estimating helicopter airspeed at speeds below about 50 knots using only fixed system parameters as inputs to the neural network. The system includes: means for entering at least one initial parameter; means for measuring, in a nonrotating reference frame associated with the helicopter, a plurality of variable state parameters generated during flight of the helicopter; means for determining a plurality of input parameters based on the at least one initial parameter and the plurality of variable state parameters and for generating successive signals representing the input parameters; at least one equation representing a nonlinear input-output relationship between the input parameters and airspeed; memory means for storing the at least one equation and for successively receiving and storing signals from the determining means; and processing means responsive to signals received from the memory means for generating airspeed information based on the input parameters and the at least one equation.

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McCool, Kelly M., David J. Haas and Carl G. Schaefer Jr., "A Neural Network 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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