Analysis and Support Initiative for Structural Technology (ASIST). Delivery Order 0018: Active Vibration Control of Buffet-Induced Vibrations in the Vertical Tail of F/A-18

Abstract

Active controllers are designed and validated to control buffet-induced vibrations in the vertical tails of F/A-18 aircraft during high angle of attack (AOA) maneuvers. First, a procedure is developed to design the offset piezoceramic actuator assemblies, the number of actuators needed, the location of actuators, and the operational power to achieve the needed control authority. The design is limited by the specification of the worst buffet scenario that has been observed during high AOA maneuvers. Using a 1/12th scale wind tunnel model, we validated the designed controllers. The wind tunnel model is built so that the empennage is aeroelastically scaled. Adaptive neural network-based controllers are used to augment the linear controller. The adaptive neural network controls uncertainties due to parameter changes that the linear controller could not control. However, the linear controller provides the major part of the needed control authority and gives the adaptive neural network direction as to what is to be controlled.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA450750

Entities

People

  • Patrick Roberts
  • Saythia Hanagud

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Actuators
  • Aircrafts
  • Closed Loop Systems
  • Control Surfaces
  • Control Systems
  • Fluid Dynamics
  • Mechanics
  • Model Predictive Control
  • Neural Networks
  • Resonant Frequency
  • Strain Gages
  • Three Dimensional
  • Two Dimensional
  • Vibration
  • Wind Tunnel Models
  • Wind Tunnel Tests
  • Wind Tunnels

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerodynamics/Aeronautics.
  • Aerospace Engineering

Technology Areas

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