Batch LCAP2-Linear Control Analysis, Version 2.0: User's Manual

Abstract

Batch LCAP2 (Linear Controls Analysis Program) is a FORTRAN program which provides the controls analyst with a set of easy to use FORTRAN subroutines which implements classical SISO control analysis techniques such as transfer function evaluation, transfer function algebra, frequency response, root locus, inverse time response, and sampled-data transforms. It can handle continuous systems and continuous- and continuous discrete multirate systems with the use of s, z, and w transforms. Recent additions to LCAP2 include (1) the capability for connecting transfer function blocks for both continuous and continuous-discrete multirate systems and (2) a precompiler to aid the user in writing FORTRAN code. The methodology used for connecting transfer function blocks takes into consideration the dimensionality problem associated with the use of nondynamic blocks or algebraic variables used in modeling the connection of dynamic blocks. In the formulation of the system matrix used in LCAP2, the dimension of the system matrix is not increased by the use of nondynamic blocks. The automated analysis of continuous-discrete multirate systems modeled by a connection of transfer function blocks uses the Kalman-Bertram state space method. It is the primary frequency domain analysis program used for stability verification of launch vehicles.

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Document Details

Document Type
Technical Report
Publication Date
Jan 31, 1989
Accession Number
ADA211670

Entities

People

  • Eugene A. Lee

Organizations

  • The Aerospace Corporation

Tags

Communities of Interest

  • Air Platforms
  • Engineered Resilient Systems
  • Space

DTIC Thesaurus Topics

  • Classification
  • Closed Loop Systems
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Difference Equations
  • Differential Equations
  • Frequency
  • Frequency Response
  • High Resolution
  • Plastic Explosives
  • Procedures (Computers)
  • Real Variables
  • Test And Evaluation
  • Transfer Functions

Readers

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

Technology Areas

  • Space