Neural Network Based Helicopter Low Airspeed Indicator

Abstract

This invention relates generally to virtual sensors and, more particularly, to a means and method utilizing a neural network for estimating helicopter airspeed at speeds below about 50 knots using only fixed system parameters (i.e., parameters measured or determined in a reference frame fixed relative to the helicopter fuselage) as inputs to the neural network.

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Document Details

Document Type
Technical Report
Publication Date
Oct 24, 1996
Accession Number
ADD018857

Entities

People

  • Carl Schaefer Jr.
  • David Haas
  • Kelly Mccool

Organizations

  • United States Department of the Navy

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Airframes
  • Airspeed Indicators
  • Center Of Gravity
  • Computer Programs
  • Computers
  • Data Sets
  • Detectors
  • Helicopters
  • Indicators
  • Inventions
  • Measurement
  • Memory Devices
  • Neural Networks
  • Recording Systems
  • Tilt Rotor Aircraft
  • Training

Readers

  • Aerospace Engineering
  • Geodesy
  • Neuroscience

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks