High Amplitude Tracking Control

Abstract

The problem of tracking control in the face of high amplitude dynamic reference signals, hard state and control constraints, and open-loop unstable plants is investigated. Saturation effects mitigation is a current research topic, and a large body of literature exists which addresses this problem. However, with a few notable exceptions, little work has been accomplished which is applicable to the problem of high amplitude dynamic reference signal tracking in the face of hard state and control constraints, and open-loop unstable plants. Moreover, methods that do address the stated problem generally limit the exogenous reference signal to statically admissible values to obtain a BIBO stable closed-loop system. In these investigations a nonlinear reference signal governor generates a modified reference signal based on the exogenous reference signal and the state of the controlled process. This research departs from previous work in that a dual-loop reference signal governor methodology is developed that prevents constraint violation but does not restrict the modified reference signal to statically admissible values. Thus tracking performance is improved. An arbitrarily close approximation of the controlled process maximal statically admissible set is characterized. On-line computational burden is generally less than that imposed by current reference signal governor methods, and the resulting closed-loop system is BIBO stable.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1998
Accession Number
ADA347638

Entities

People

  • Joseph W. Mcnamee

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Amplitude
  • Closed Loop Systems
  • Computer Programs
  • Computers
  • Control Systems
  • Equations
  • Linear Programming
  • Linear Systems
  • Open Loop Systems
  • Regulators
  • Signal Generators
  • Speed Regulators
  • Systems Engineering
  • Two Dimensional
  • United States

Fields of Study

  • Engineering

Readers

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