SHORT COURSE ON GUIDANCE AND CONTROL FOR AEROSPACE VEHICLES.

Abstract

The objective of the lecture series is to show the application of 'modern control theory' to the generation of guidance laws for astronautical as well as atmospheric aerospace vehicles. Time domain analysis is stressed throughout, although frequency domain considerations are used when discussing instrumentation response characteristics. Particular emphasis is placed on the use of digital computers in solving these highly nonlinear problems and techniques are demonstrated for implementing and mechanizing these solutions to airborne and astronautical vehicles. The purpose of the first and second chapters is to review the language of modern control theory as it applies to linear systems. The concepts of input-output, state space representations and matrix analysis are coupled to a discussion of solutions of state space equations and the calculation of state transition matrices for linear systems. Chapters three and four introduce optimization theory and provide various formulations and algorithms to generate optimal controllers for so-called fixed time TPBV problems. The fifth chapter describes discrete estimation or Kalman filtering theory. Chapter six discusses space kinematic relationships describing motion in both inertial and moving coordinate frames. The seventh chapter develops trajectory theory and perturbation analysis as applied to astronautical vehicles. Finally, chapter eight describes the typical guidance and control philosophy used in aerodynamic as well as astronautical vehicles. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1969
Accession Number
AD0688334

Entities

People

  • Donald O. Norris
  • Frank M. Brown
  • Roger W. Johnson

Organizations

  • AGARD

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Aerospace Craft
  • Algorithms
  • Computers
  • Control Theory
  • Digital Computers
  • Frequency
  • Frequency Domain
  • Guidance
  • Instrumentation
  • Kalman Filtering
  • Linear Systems
  • Statistical Algorithms
  • Time Domain
  • Trajectories
  • Vehicles

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Robotics and Automation.
  • Technical Research and Report Writing.

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers