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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F12%3A86084964%21RIV13-MSM-27240___
rdf:type
n14:Vysledek skos:Concept
dcterms:description
This article shows one of many ways how identify parameters of the IM in real time.For identification is used theory of genetic algorithms.The Genetic Algorithms is a search technique used in many fields, like in computer science, to find accurate solutions to large optimization and search problems.The advantage of GAs is flexible and intuitive approach to optimization and demonstrates a higher probability of not converging to local optima solutions compared to traditional gradient based methods.More recently, methods which have appeared in the scientific literature about general GAs become popular and can be successfully ported to power electronics and drives.This article deals with the possibilities to improve dynamics and other properties of the drive with using online parameters estimation integrated in main control algorithm.In this paper at the first there is presented an analysis of the current state of the investigated problem and there is also explained why the problem is discussed.Following chapters show induction machine dynamic model principles and ways of implementation the IM parameters identification.Used genetic algorithm theory and experimental results are demonstrated in the end of this article.The conclusion describes the potential use of this method and discusses further development in the real time estimation of induction machines parameters. This article shows one of many ways how identify parameters of the IM in real time.For identification is used theory of genetic algorithms.The Genetic Algorithms is a search technique used in many fields, like in computer science, to find accurate solutions to large optimization and search problems.The advantage of GAs is flexible and intuitive approach to optimization and demonstrates a higher probability of not converging to local optima solutions compared to traditional gradient based methods.More recently, methods which have appeared in the scientific literature about general GAs become popular and can be successfully ported to power electronics and drives.This article deals with the possibilities to improve dynamics and other properties of the drive with using online parameters estimation integrated in main control algorithm.In this paper at the first there is presented an analysis of the current state of the investigated problem and there is also explained why the problem is discussed.Following chapters show induction machine dynamic model principles and ways of implementation the IM parameters identification.Used genetic algorithm theory and experimental results are demonstrated in the end of this article.The conclusion describes the potential use of this method and discusses further development in the real time estimation of induction machines parameters.
dcterms:title
Estimation of induction machine electrical parameters based on the genetic algorithms Estimation of induction machine electrical parameters based on the genetic algorithms
skos:prefLabel
Estimation of induction machine electrical parameters based on the genetic algorithms Estimation of induction machine electrical parameters based on the genetic algorithms
skos:notation
RIV/61989100:27240/12:86084964!RIV13-MSM-27240___
n14:predkladatel
n20:orjk%3A27240
n4:aktivita
n21:S
n4:aktivity
S
n4:dodaniDat
n16:2013
n4:domaciTvurceVysledku
n13:3453375 n13:1050699 n13:5585708 n13:8506809
n4:druhVysledku
n10:D
n4:duvernostUdaju
n19:S
n4:entitaPredkladatele
n17:predkladatel
n4:idSjednocenehoVysledku
134783
n4:idVysledku
RIV/61989100:27240/12:86084964
n4:jazykVysledku
n8:eng
n4:klicovaSlova
genetic algorithms; parameters; induction machine; Estimation
n4:klicoveSlovo
n11:parameters n11:induction%20machine n11:genetic%20algorithms n11:Estimation
n4:kontrolniKodProRIV
[81FAE883E738]
n4:mistoKonaniAkce
Kuala Lumpur
n4:mistoVydani
Cambridge
n4:nazevZdroje
Progress in Electromagnetics Research Symposium, PIERS 2012 : Kuala Lumpur
n4:obor
n15:JA
n4:pocetDomacichTvurcuVysledku
4
n4:pocetTvurcuVysledku
4
n4:rokUplatneniVysledku
n16:2012
n4:tvurceVysledku
Šimoník, Petr Slivka, David Hudeček, Petr Palacký, Petr
n4:typAkce
n5:WRD
n4:zahajeniAkce
2012-03-27+02:00
s:issn
1559-9450
s:numberOfPages
4
n18:hasPublisher
The Electromagnetics Academy
n9:isbn
978-1-934142-20-2
n6:organizacniJednotka
27240