Neural Network Based Method for Estimating Helicopter Low Airspeed

Abstract

The present 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
ADD018622

Entities

People

  • Carl G. Schaefer Jr.
  • David J. Haas
  • Kelly M. 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
  • Center Of Gravity
  • Computer Programs
  • Computers
  • Data Sets
  • Detectors
  • Equations
  • Helicopters
  • Inventions
  • Measurement
  • Memory Devices
  • Neural Networks
  • Recording Systems
  • Static Pressure
  • Tilt Rotor Aircraft
  • Training

Readers

  • Aerospace Engineering
  • Computational Modeling and Simulation
  • Neural Network Machine Learning.

Technology Areas

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