COMPUTATIONAL METHODS IN OPTIMAL CONTROL PROBLEMS.

Abstract

This report considers the application of optimization techniques to the development of methods for the control of engineering systems. The systems considered are those physical processes which are subject to independent control forces and in which the dynamics of the process are of central importance. It is assumed that the process can be described by a system of ordinary nonlinear differential equations. The optimization, with respect to a general criterion function, of such systems is considered. The conditions and equations which specify the optimal system behavior are derived by means of the Maximum Principle. System trajectories which satisfy the optimal conditions, i.e., optimal trajectories, can only be obtained by numerical computation. Various approaches to this computational problem are reviewed and their primary limitations are discussed. In order to provide a realistic evaluation of certain computational methods, the optimization of a particular engineering system is considered in detail. This system is a variable lift aerodynamic vehicle during the atmospheric reentry phase. A mathematical model for this system is developed and the optimization of this model is considered. The criterion function is a linear combination of the heating and acceleration effects which are experienced by the vehicle during the reentry phase.

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1965
Accession Number
AD0622081

Entities

People

  • James A. Payne

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Atmosphere Entry
  • Computational Fluid Dynamics
  • Computational Science
  • Differential Equations
  • Engineering
  • Equations
  • Mathematical Analysis
  • Mathematical Models
  • Models
  • Nonlinear Differential Equations
  • Optimization
  • Trajectories

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerodynamics/Aeronautics.
  • Control Systems Engineering.