Advanced Concepts for Boundary Layer Control

Abstract

A series of numerical experiments were performed to explore new control strategies suitable for distributed control. All numerical experiments were performed in a fully developed turbulent channel flow. Three different control schemes were developed. These include applications of a neural network, a suboptimal control theory and systems control theory. In all cases, substantial drag reductions were achieved. A simple feedback law obtained from the neural network was implemented into a chip, which contains microelectronics (for the control logic), microsensors and microactuators (cu M chip). All cases used surface blowing and suction as control input. Development of a new numerical method for simulating a turbulent flow over distributed microflap actuators is included.

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Document Details

Document Type
Technical Report
Publication Date
Nov 07, 2000
Accession Number
ADA385336

Entities

People

  • John J Kim

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Boundary Layer
  • Boundary Layer Control
  • Channel Flow
  • Computational Fluid Dynamics
  • Computational Science
  • Control Systems
  • Control Theory
  • Differential Equations
  • Drag Reduction
  • Flow Fields
  • Fluid Dynamics
  • Fluid Mechanics
  • Stratified Fluids
  • Three Dimensional
  • Turbulent Flow
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Fluid Mechanics and Fluid Dynamics.
  • Integrated Circuit Design and Technology.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks
  • Microelectronics