LQG/LTR Design of a Robust Flight Controller for the STOL F-15.

Abstract

A robust controller for the approach and landing phase of the Short Take-off and Landing (STOL) F-15 is developed via LQG/LTR (Linear System model, Quadratic cost, Gaussian models of uncertainty, used for controller synthesis, with Loop Transmission Recovery techniques of tuning the filter in the loop for control robustness enhancement) methods. Reduced-order full-state feedback controllers are synthesized using CGT/PT (Command Generator Tracking feedforward compensator to incorporate handling qualities, with Proportional plus Integral feedback) synthesis, specifically using implicit model following to provide good robustness characteristics in the full-state feedback case. The robustness is fully assessed using realistic simulations of the real-world system with meaningful deviations from design conditions. Once a Kalman filter is embedded into the loop to estimate states rather than assuming artificial access to all states, LTR methodology is used to preserve as much robustness as possible. A full assessment of performance and robustness of these final implementable designs is provided. Keywords: LQG/LTR, Multivariable Control, STOL, Kalman Filter, and Model Following Controller.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1985
Accession Number
ADA164111

Entities

People

  • Gregory L. Gross

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Cyber
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Closed Loop Systems
  • Computational Science
  • Computer-Aided Design
  • Control Surfaces
  • Control Systems
  • Control Systems Engineering
  • Differential Equations
  • Feedback
  • Filters
  • Generators
  • Kalman Filters
  • Linear Systems
  • Mathematical Filters
  • Personality
  • Short Takeoff Aircraft
  • Simulations
  • Test And Evaluation

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerospace Engineering
  • Robotics and Automation.