Characterization of induction machines with a genetic algorithm

E. B. Souza Filho, A. M.N. Lima, C. B. Jacobina

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

In this paper, the characterization of an induction machine is formulated as a nonlinear estimation problem. The solution of the estimation problem is achieved with a genetic algorithm that aims at minimizing a quadratic cost function. The data sources used in the proposed formulation correspond to the values of the current and power absorbed by the machine in standard laboratory tests. The characterization obtained with the proposed technique is compared with that obtained with the classical no-load and locked rotor tests either by simulation or experimentally.

Original languageEnglish
Title of host publicationIEEE International Electric Machines and Drives Conference, IEMDC 1999 - Proceedings
Pages446-448
Number of pages3
DOIs
StatePublished - 1999
Externally publishedYes
Event1999 IEEE International Electric Machines and Drives Conference, IEMDC 1999 - Seattle, WA, United States
Duration: 9 May 199912 May 1999

Publication series

NameIEEE International Electric Machines and Drives Conference, IEMDC 1999 - Proceedings

Conference

Conference1999 IEEE International Electric Machines and Drives Conference, IEMDC 1999
Country/TerritoryUnited States
CitySeattle, WA
Period9/05/9912/05/99

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