Parametric Uncertainty Reduction in Robust Multivariable Control

Abstract

This dissertation presents a method for reducing the number of parametric uncertainties used in the design of a robust H-infinity controller. The resulting controller is shown to meet robust stability and performance requirements in the presence of all the modeled uncertainties. The approach used involves grouping parametric variations affecting the same open loop eigenvalue, then scaling one or more of these variations to accommodate the eigenvalue change caused by all the parametric uncertainties. This method is effective in those cases where a large number of parametric uncertainties cause current computer aided design software to fail to find a robust controller for the plant.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1993
Accession Number
ADA273412

Entities

People

  • David L. Krueger

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Automatic Pilots
  • Closed Loop Systems
  • Computer-Aided Design
  • Computers
  • Control Systems
  • Control Systems Engineering
  • Control Theory
  • Eigenvalues
  • Engineering
  • Equations
  • Low Drag
  • Open Loop Systems
  • Steady State
  • Theses
  • Transfer Functions
  • Weighting Functions

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Systems Analysis and Design