Automated Modern Control Design

Abstract

The aim of this research is to demonstrate that fuzzy logic may be used to harness human expertise to automatically tune modern control systems, which can lead to higher performing control systems and savings in the time devoted by the control engineer. Designing controllers for which selected system (input and output) variances are constrained have practical applications to a variety of problems, including control design for flexible structures. This research has demonstrated that a fuzzy algorithm developed by the investigators allows the design of reduced-order, H2 optimal controllers that satisfy bounds on selected system variances. This is the first time that an algorithm has been developed and demonstrated for weight selection in the design of reduced-order controllers. In addition, this research developed a fuzzy algorithm for choosing weights in single-input, single-output H loop shaping control design with multiple time-domain and frequency-domain objectives. As a theoretical extension of the fuzzy weight selection algorithms, this research also developed a fuzzy algorithm for solving inexplicit and undetermined nonlinear systems of the form F(x)=0, where F: R(super n) (right arrow) R(super m). An inexplicit system is one for which there is no analytical expression for the function F(x). An undetermined nonlinear system is one for which m < n. These results have wide applicability since zero-finding problems are prevalent in engineering and science. The report briefly summarizes some of the most important results obtained in this research: H2 Optimal Reduced Order Control Design Using a Fuzzy Logic Methodology with Bounds on System Variances; Facilitating SISO Design of Multiobjective H Loop Shaping Control Systems; and Solution of Inexplicit Systems of Nonlinear Algebraic Equations by Fuzzy Logic. The details of this research can be found in the publications listed at the end of the report.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 21, 2003
Accession Number
ADA422597

Entities

People

  • Emmanuel G. Collins

Organizations

  • Florida A&M University

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Attack Helicopters
  • Closed Loop Systems
  • Control Systems
  • Control Systems Engineering
  • Engineering
  • Engineers
  • Equations
  • Flexible Structures
  • Frequency
  • Frequency Domain
  • Fuzzy Logic
  • Fuzzy Sets
  • Logic
  • Nonlinear Algebraic Equations
  • Nonlinear Systems
  • Time Domain

Readers

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