Test Cases for the Benchmark Active Controls Model: Spoiler and Control Surface Oscillations and Flutter

Abstract

As a portion of the Benchmark Models Program at NASA Langley (Ref 1-2). a simple generic model was developed for active controls research and was called BACT for Benchmark Active Controls Technology model. This model was based on the previously-tested Benchmark Models rectangular wing with the NACA 0012 airfoil section that was mounted on the Pitch and Plunge Apparatus (PAPA) for flutter testing (Ref 1, 3-5) The BACT model had an upper surface spoiler, a lower surface spoiler and a trailing edge control surface for use in flutter suppression and dynamic response excitation. Previous expenence with flutter suppression (Ref 6-7) indicated a need for measured control surface aerodynamics for accurate control law design Three different types of flutter instability boundaries had also been determined for the NACA 00l2)PAPA model, a classical flutter boundary, a transonic stall flutter boundary at angle of attack. and a plunge instability near M = O%9 (Ref I Therefore an extensive Set of steady and control surface oscillation data was generated spanning the range of the three types of instabilities (Ref 8). This information was subsequently used to design control laws to suppress each flutter instability.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2000
Accession Number
ADP010714

Entities

People

  • Robert M. Bennett

Organizations

  • National Aeronautics and Space Administration

Tags

DTIC Thesaurus Topics

  • Actuators
  • Aeroelasticity
  • Boundary Layer
  • Computational Fluid Dynamics
  • Control Surfaces
  • Dynamic Pressure
  • Dynamic Response
  • Fluid Dynamics
  • Fluid Flow
  • Mach Number
  • Measurement
  • Mechanical Properties
  • Pressure Distribution
  • Pressure Measurement
  • Pressure Transducers
  • Unsteady Aerodynamics
  • Wind Tunnels

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerodynamics.
  • Computational Fluid Dynamics (CFD)

Technology Areas

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