An Interactive Discrete Controls Analysis Option (ORACLS) for the CONTROLS Analysis Package on the IBM 3033.

Abstract

This thesis discusses the implementation of a discrete control systems analysis option, ORACLS, for the CONTROLS analysis package. The option encompassses a collection of FORTRAN programs that facilitate the design and analysis of linear, multiple input/multiple output digital feedback control systems. All programs are interactive and operate in the VM/CMS environment of the IBM 3033. The main focus of this thesis was the development of the FORTRAN programs ORACLSX and TRANFUNC. These serve as the foundation of the ORACLS option, complimenting as well as interacting with those programs currently in use in the CONTROLS package. A collection of FORTRAN subroutines 'Optimal Regulator Algorithms for the Control of Linear Systems' (ORACLS), by E.S. Armstrong of the NASA Langley Research Center, was used in the development of the ORACLSX program. Subroutines from the 'Optimal Systems Control' FORTRAN program (OPTSYS), were used as the foundation for the discrete transfer function analysis program, TRANFUNC. The ORACLS option capabilities include: analog-to-digital matrix conversion, transfer function analysis, complete eigenvalue analysis, modal analysis, transient response calculation, Kalman-Bucy filter synthesis, and optimal regulator synthesis. Graphical results are available for the transient analysis and transfer function analysis portions. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1985
Accession Number
ADA158754

Entities

People

  • M. K. Brenny

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Closed Loop Systems
  • Computations
  • Computer Programs
  • Control Systems
  • Control Systems Engineering
  • Conversion
  • Eigenvalues
  • Engineering
  • Equations
  • Estimators
  • Feedback
  • Linear Systems
  • Modal Analysis
  • Procedures (Computers)
  • Regulators
  • United States

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Science.