Regulator design using a multiobjective genetic algorithm

Fredrik Östman*, Frank Pettersson, Hannu T. Toivonen

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedingConference contributionScientificpeer-review

Abstract

When designing a regulator for a specific system, a set of different objectives needs to be evaluated. This is usually done by manual tuning of parameters and evaluation of the step response. In recent years gradient-based multiobjective constraint optimization methods have been successfully applied on this problem while, in this report, a multiobjective genetic algorithm approach is applied. By defining a set of cost-functions in the frequency-domain for different frequency intervals, PID regulator settings for two bench-mark models are identified and successfully evaluated.

Original languageEnglish
Title of host publicationCAO'09 - IFAC Workshop on Control Applications of Optimization, Proceedings
PublisherIFAC Secretariat
Pages108-113
Number of pages6
EditionPART 1
ISBN (Print)9783902661425
DOIs
Publication statusPublished - 2009
MoE publication typeA4 Article in a conference publication

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume7
ISSN (Print)1474-6670

Keywords

  • Genetic algorithms
  • Multiobjective optimizations
  • Regulator design

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