IDENTIFICATION BY HYBRID ALGORITHM APPLICATION TO THE IDENTIFICATION OF DYNAMICS PARAMATERS OF SYNCHRONOUS MACHINE

被引：0

作者：

Rakotoarisoa, Jean Claude ^{[1
]}

Razafinjaka, Jean Nirinarison ^{[1
]}

机构：

[1] Ecole Super Polytech, Lab Automat, Diego Suarez, Madagascar

来源：

5TH INTERNATIONAL CONFERENCE ON INTEGRATED MODELING AND ANALYSIS IN APPLIED CONTROL AND AUTOMATION, IMAACA 2011 | 2011年

关键词：

Identification; synchronous machine; Genetic Algorithm; Levenberg-Marquardt Algorithm;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This work treats the identification of the dynamic parameters of a synchronous machine using the test by symmetrical three-phased short circuit. The fitting of these parameters is carried out through the minimization of the quadratic errors between the short circuit currents measured and calculated.. The approach of hybridization used in this work is the combination of the genetic algorithm (AG) and the algorithm of Levenberg-Marquardt (LM). The results of the optimization are validated first by comparing the parameters obtained by the approach adopted with those estimated with the graphic method of the IEEE standard then by the test of "voltage of reappearance".

引用

页码：92 / 97

页数：6

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