Design of Robust Suboptimal Controllers for a Generalized Quadratic Criterion

Abstract

Standard linear quadratic regulator (LQR) designs guarantee a certain level of robustness. However, optimizing a generalized quadratic criterion produces coupled state and input terms and there are no longer any guarantees of good robustness properties. This thesis identifies how this problem arises and then presents several suboptimal, but robust controller design options which provide the control systems engineer with the ability to perform a trade-off between performance and robustness. The effectiveness of these methods is investigated and the trade-offs between performance and robustness are evaluated using computer simulation of a statically unstable fighter aircraft. Linear Quadratic Feedback Control System, Robust Control, Optimal Control, Suboptimal Control.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1992
Accession Number
ADA257746

Entities

People

  • Kurtis B. Miller

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircraft Models
  • Aircrafts
  • Closed Loop Systems
  • Computational Science
  • Computers
  • Control Systems
  • Control Systems Engineering
  • Control Theory
  • Differential Equations
  • Engineering
  • Engineers
  • Equations
  • Models
  • Multiple Input Multiple Output
  • Simulations
  • Standards
  • United States

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Regression Analysis.
  • Robotics and Automation.