Multi-function air data probes employing neural networks for determining local air data parameters

Abstract

An air data sensing probe or MFP includes a barrel having multiple pressure sensing ports for sensing multiple pressures. Instrumentation coupled to the pressure sensing ports provides electrical signals related to the multiple pressures. A neural network, coupled to the instrumentation, receives as inputs the electrical signals related to the multiple pressures, and in response, the neural network provides, as an output, electrical signals indicative of at least one local air data parameter for the air data sensing probe.

1 . An air data sensing probe comprising: 
 a plurality of pressure sensing ports sensing a plurality of pressures;    instrumentation coupled to the plurality of pressure sensing ports providing electrical signals related to the plurality of pressures; and    a neural network coupled to the instrumentation, the neural network configured to receive as inputs the electrical signals related to the plurality of pressures, and in response, the neural network configured to provide as an output electrical signals indicative of at least one local air data parameter for the air data sensing probe.    
   
   
       2 . An air data sensing probe comprising: 
 pressure sensing means for sensing a plurality of pressures;    electrical signal generating means for providing electrical signals related to the plurality of pressures; and    neural network means coupled to the electrical signal generating means for receiving as inputs the electrical signals related to the plurality of pressures, and for providing in response electrical signals indicative of at least one local air data parameter for the air data sensing probe.