Fidelity Assessment of a UH-60A Simulation on the NASA Ames Vertical Motion Simulator

Abstract

Helicopter handling qualities research requires that a ground-based simulation be a high-fidelity representation of the actual helicopter, especially over the frequency range of the investigation. This experiment was performed to assess the current capability to simulate the UH-60A Black Hawk helicopter on the Vertical Motion Simulator (VMS) at NASA Ames, to develop a methodology for assessing the fidelity of a simulation, and to find the causes for lack of fidelity. The approach used was to compare the simulation to the flight vehicle for a series of tasks performed in flight and in the simulator. The results show that subjective handling qualities ratings from flight to simulator overlap, and the mathematical model matches the UH-60A helicopter very well over the range of frequencies critical to handling qualities evaluation. Pilot comments, however, indicate a need for improvement in the perceptual fidelity of the simulation in the areas of motion and visual cuing. The methodology used to make the fidelity assessment proved useful in showing differences in pilot workload and strategy, but additional work is needed to refine objective methods for determining causes of lack of fidelity.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1993
Accession Number
ADA271172

Entities

People

  • Adolph Atencio Jr.

Organizations

  • National Aeronautics and Space Administration

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircraft Equipment
  • Aircrafts
  • Airframes
  • Altimeters
  • Cognitive Workload
  • Control Systems
  • Flight Instruments
  • Frequency
  • Helicopters
  • Mathematical Models
  • Measurement
  • Radar Altimeters
  • Simulators
  • Test And Evaluation
  • Test Facilities
  • Tilt Rotor Aircraft

Fields of Study

  • Physics

Readers

  • Aerospace Engineering
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computational Modeling and Simulation