Center of Excellence in Rotorcraft Technology.

Abstract

Georgia Tech's research investigations during the reporting period focused on several analytical and experimental tasks in rotorcraft technology. In the area of Rotorcraft Aerodynamics, work continued on the development of numerical formulations for prediction of viscous flow over rotors and rotor-body combinations without resort to empirical or Lagrangian-based formulations for capturing the tip vortex. Experimental work in transient aerodynamic interactions were aimed at a new capability for, among others, a detailed study of flow separation and reattachment using a basic rotor/wing interaction experiment. In the area of Rotor Dynamics & Aeroelasticity, investigations focused on rotor vibration and trim with advanced finite-state wake aerodynamics. In the area of Structures and Materials, dynamic modeling of composite beams was investigated including the edge-zone behavior. Research in robust control theory was devoted to exploring robustness and controller order reduction issues related to the design of rotorcraft flight control systems, development of synthesis techniques for designing full envelope flight controllers without the need for gain scheduling, and neural network based and numerical investigation of a direct adaptive tracking control architecture.

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Document Details

Document Type
Technical Report
Publication Date
Dec 31, 1995
Accession Number
ADA308556

Entities

People

  • A. J. Calise
  • D. P. Schrage
  • E. A. Armanios
  • S. V. Hanagud
  • V. L. Berdichevsky

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Aeroelasticity
  • Aircraft Equipment
  • Aircraft Industry
  • Aircrafts
  • Airframes
  • Composite Materials
  • Computational Fluid Dynamics
  • Computational Science
  • Control Systems
  • Flight Control Systems
  • Fluid Dynamics
  • Helicopter Rotors
  • Laminates
  • Mechanics
  • Rotary Wing Aircraft
  • Three Dimensional
  • Transient Response Analysis

Fields of Study

  • Physics

Readers

  • Aerospace Engineering
  • Computational Fluid Dynamics (CFD)
  • Robotics and Automation.

Technology Areas

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