Regulator design using a multiobjective genetic algorithm

Fredrik Östman*, Frank Pettersson, Hannu T. Toivonen

*Korresponderande författare för detta arbete

Forskningsoutput: Kapitel i bok/konferenshandlingKonferensbidragVetenskapligPeer review

Sammanfattning

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.

OriginalspråkEngelska
Titel på gästpublikation14th IFAC Workshop on Control Applications of Optimization
FörlagIFAC Secretariat
Sidor108-113
Antal sidor6
ISBN (tryckt)9783902661425
DOI
StatusPublicerad - 2009
MoE-publikationstypA4 Artikel i en konferenspublikation

Publikationsserier

NamnIFAC Proceedings Volumes
Nummer2
Volym42
ISSN (tryckt)1474-6670

Fingeravtryck

Fördjupa i forskningsämnen för ”Regulator design using a multiobjective genetic algorithm”. Tillsammans bildar de ett unikt fingeravtryck.

Citera det här