Design of Advanced Digital Flight Control Systems via Command Generator Tracker (CGT) Synthesis Methods. Volume I.

Abstract

This study develops a computer program for interactive execution to aid in the design of Command Generator Tracker control systems employing Proportional-plus-Integral inner-loop controllers and Kalman Filters for state estimation (CGT/PI/KF controllers). Design parameters are specified in the continuous-time domain and the computer program obtains the corresponding discrete-time parameters and determines a direct digital design for sampled-data implementation. Designs are based upon the Linear system mode, Quadratic cost, and Gaussian noise process (LQG) assumptions of optimal control theory. The report discusses the theoretical background and applications of optimal model-following designs which preceded the CGT theory. A development of the CGT/PI/KF controller theory is presented, and performance evaluation tools for the controller design are discussed. Following a brief description of the computer program developed, results of applying it to example aircraft-related controller design problems are presented and discussed.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1981
Accession Number
ADA115510

Entities

People

  • Richard M. Floyd

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Cyber
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Clear Air Turbulence
  • Closed Loop Systems
  • Computational Fluid Dynamics
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Control Systems Engineering
  • Control Theory
  • Differential Equations
  • Flight Control Systems
  • Gaussian Noise
  • Kalman Filters
  • Linear Systems
  • Mathematical Filters

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Robotics and Automation.