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Determination of Three-phase Induction Motor Parameters Using Artificial Neural Networks

Grant number: 22/16250-5
Support Opportunities:Scholarships in Brazil - Scientific Initiation
Effective date (Start): April 01, 2023
Effective date (End): March 31, 2024
Field of knowledge:Engineering - Electrical Engineering - Power Systems
Principal Investigator:Helmo Kelis Morales Paredes
Grantee:Eduardo Ferreira Rios de Oliveira
Host Institution: Instituto de Ciência e Tecnologia. Universidade Estadual Paulista (UNESP). Campus de Sorocaba. Sorocaba , SP, Brazil

Abstract

This project aims to approach the determination of the parameters of three-phase induction motors. A database will be created from the data provided by several manufacturer catalogs and nameplates to estimate three-phase induction motor parameters. Based on these data, an artificial neural network will be implemented, trained, and combined with the per-phase equivalent circuit method. The results will be compared with traditional methods to obtain the equivalent circuit of three-phase induction motors.

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