Parameter Space Techniques for Robust Control System Design.

Abstract

The importance of designing control systems which are robust or insensitive to variations in the plant parameters has long been appreciated. However, the rapid advances in design techniques for multivariable systems has heightened interest in the study and design of robust systems. The purpose of this report is to provide an up to date survey of the work in this field and summarize the results of research in this area conducted at the Coordinated Science Laboratory. The report begins in Chapter 2 with a description and examples of the robust control problem. Chapter 3 provides a survey of research in the field of robust control. It is apparent from this survey that the work can be divided into two areas. The first assumes unstructured perturbations and analyzes worst case effects. The second considers large, structured perturbations. The parameter space design method presented in Chapter 4 is directed at the second area. The tools of Chapter 4 are applied to a fighter aircraft example in Chapter 5. Chapter 6 presents an optimization approach to the same problem. Finally, Chapter 7 summarizes the report and presents several directions for future research. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1980
Accession Number
ADA125863

Entities

People

  • Christine B. Chato
  • Douglas P. Looze
  • Juergen Ackermann
  • S. Norman Franklin

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Adaptive Systems
  • Air Force
  • Airborne Warning And Control System
  • Aircrafts
  • Airframes
  • Closed Loop Systems
  • Computational Science
  • Control Systems
  • Control Systems Engineering
  • Fighter Aircraft
  • Linear Systems
  • Measurement
  • Open Loop Systems
  • Remotely Piloted Vehicles
  • Systems Engineering
  • Two Dimensional
  • Vehicles

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Technical Research and Report Writing.
  • Theoretical Analysis.

Technology Areas

  • Space