초록 ▼

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 nonr

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.

대표청구항 ▼

[ What is claimed is:] [1.] A virtual sensor for estimating low airspeed of a helicopter comprising:determining means for determining a plurality of input parameters, said plurality of input parameters determined during low airspeed flight of the helicopter and continuously updated at a sampling rat

[ What is claimed is:] [1.] A virtual sensor for estimating low airspeed of a helicopter comprising:determining means for determining a plurality of input parameters, said plurality of input parameters determined during low airspeed flight of the helicopter and continuously updated at a sampling rate during said low airspeed flight;at least one neural network equation representative of a learned nonlinear relationship between said plurality of input parameters and said airspeed;memory means for storing said at least one neural network equation and for receiving said plurality of input parameters; andprocessing means operatively coupled to said memory means, said processing means receiving said plurality of input parameters from said memory means and providing a low airspeed signal in response to said plurality of input parameters and said at least one neural network equation.