AN OPTIMIZATION TECHNIQUE FOR PULSE WIDTH MODULATED SYSTEMS

Abstract

A procedure for the design of a controller to optimize a certain class of pulse-width-modulated systems is presented. The process to be controlled is time-invariant, of arbitrary order, and excited by a sequence of pulses generated from information available at arbitrary sampling instants. Input information to the system is quite general and includes random and determinist phenomena. Identification of the plant is accomplished using state variable notation and linear estimation techniques. Prediction of the future plant behavior is also performed with these techniques and the controller is designed to optimize the predicted plant performance by minimizing a measure of the future system errors. The mechanized optimal control law or controller program, develops the pulse to be applied at any sampling instant by specifying the pulse width and associated sign. The general results are applied to several examples through digital computer simulation. The optimal pulse width controller is shown to produce far better performance than normal pulse width control which utilizes present errors to develop the actuating signal to be applied at that same instant and for some time in the future. The results of considering a family of step function inputs to the system are shown for a third and fourth order plant.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1963
Accession Number
AD0406078

Entities

People

  • Robert W. Kafka

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computational Science
  • Computer Programming
  • Computers
  • Control Systems
  • Differential Equations
  • Digital Computers
  • Dynamic Programming
  • Equations
  • Estimators
  • Identification
  • Notation
  • Optimization
  • Sampling
  • Sequences
  • Simulations
  • Step Functions
  • Transfer Functions

Fields of Study

  • Physics

Readers

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