Parameter Plane Design Method

Abstract

When analyzing or designing a control system, it is important to study the effects on overall system performance of varying one or more parameters (mass, inertia, gain, resistance, etc). It is equally important to determine whether a desired dynamic behavior can be achieved with any set of values for the parameters...if not, redesign is indicated. The analysis and synthesis of linear feedback control systems, or the compensation of same, can be realized by parameter plane methods. The parameter plane method, which works well for two variable parameters and which may be extended to three or more parameters, is purely algebraic, and the resulting plots are valuable aids to analysis. Furthermore, the performance index cost curves in terms of integral- square error and other cost functions can be superimposed on the parameter plane graphically. The object of this thesis is to develop a user friendly interactive computer program to plot families of performance index cost curves. A secondary objectives is to demonstrate the use of the these curves in the design of the system. The design procedure starts with the performance index cost curves superimposed on parameter plane cures. The result of the analysis is a choice of values for the parameters such that the system performance is the best available compromise between transient performance and cost.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1989
Accession Number
ADA209845

Entities

People

  • Dong R. Shin

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Abstracts
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Data Transmission
  • Department Of Defense
  • Engineering
  • Mainframe Computers
  • Operating Systems
  • Personal Computers
  • Procedures (Computers)
  • Serial Ports
  • Simulations
  • Systems Analysis
  • Two Dimensional
  • User Friendly

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Fluid Dynamics.