Reduced-Order Modeling for Optimization and Control of Complex Flows

Abstract

The primary objectives of this research were to develop reduced-order modeling methodologies for control and optimization applications. This was achieved through three specific research goals. First of all, we focused on improving the accuracy of reduced-order model simulations by including closure terms (that can be implemented in practical applications). Secondly, we used sensitivity analysis to improve the accuracy of models over ranges of parameters. Finally, we developed a better methodology for using reduced-order modeling methods for feedback control calculations. We made significant advances in each of these three areas.

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Document Details

Document Type
Technical Report
Publication Date
Nov 30, 2010
Accession Number
ADA563859

Entities

People

  • Jeff Borggaard
  • Traian Iliescu

Organizations

  • Virginia Tech

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Applied Mathematics
  • Computational Fluid Dynamics
  • Computational Science
  • Differential Equations
  • Engineering
  • Equations
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Hypervelocity Flow
  • Large Eddy Simulation
  • Mechanics
  • Numerical Analysis
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Control Systems Engineering.