High Resolution Simulation of Full Aircraft Control at Flight Reynolds Numbers

Abstract

This paper documents interim results of a three year project to develop a computational method for accurately determining static and dynamic stability and control characteristics of fighter and transport aircraft with various store configurations, as well as the aircraft response to pilot input. In this second year of the project computational data is gathered for a rigid F-16C with no control surface movement in forced motion that approximates flight test maneuvers. "Computational maneuvers" designed to efficiently gather three axes of motion data to build a comprehensive reduced order model are also developed. The data is then post-processed to determine the resulting static and dynamic stability characteristics. The main benefits of this effort are: 1) early discoverv of complex aerodynamic phenomena that are typically only present in dynamic flight maneuvers and therefore not discovered until flight test, and 2) rapid generation of an accurate aerodynamic data base to support aircraf and weapon ceflification by reducing required flight test hours and complementing current stability and control testing.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2007
Accession Number
ADP023734

Entities

People

  • David R. Mcdaniel
  • James R. Forsythe
  • Jürgen Seidel
  • Keith Bergeron
  • Kyle D. Squires
  • Russell M. Cummings
  • Scott A. Morton
  • Stefan Goertz

Tags

Communities of Interest

  • Air Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aeronautics
  • Air Force
  • Aircrafts
  • Computational Fluid Dynamics
  • Computational Science
  • Computer Science
  • Computers
  • Control Surfaces
  • Department Of Defense
  • Fluid Dynamics
  • Fluid Flow
  • High Performance Computing
  • High Resolution
  • Mathematical Models
  • Reynolds Number
  • Simulations
  • Test And Evaluation

Readers

  • Aerodynamics/Aeronautics.
  • Aviation Science / Aeronautics.
  • Computational Modeling and Simulation