Estimador neural de velocidade aplicando o método de redes neurais (Speed estimation for induction motor using neural networks method)

Alessandro Goedtel (agoedtel@utfpr.edu.br)1, Ivan Nunes da Silva (insilva@sc.usp.br)2, Paulo José Amaral Serni (paulojas@feb.unesp.br)3, Marcelo Suetake (mclsuetake@gmail.com)4, Claudionor Franscisco do Nascimento (claudionor.nto@gmail.com)4, Sergio Augusto Oliveira da Silva (augus@utfpr.edu.br)1


1Universidade Tecnológica Federal do Paraná - UTFPR
2Universidade de São Paulo - USP
3Universidade Estadual Paulista - UNESP
4Universidade Federal de São Carlos

This paper appears in: Revista IEEE América Latina

Publication Date: March 2013
Volume: 11,   Issue: 2 
ISSN: 1548-0992


Abstract:
This work presents an alternative approach based on neural network method in order to estimate speed of induction motors, using the measurement of primary variables such as voltage and current. Induction motors are very common in many sectors of the industry and assume an important role in the national energy policy. The nowadays methodologies, which are used in diagnosis, condition monitoring and dimensioning of these motors, are based on measure of the speed variable. However, the direct measure of this variable compromises the system control and starting circuit of an electric machinery, reducing its robustness and increasing the implementation costs. Simulation results and experimental data are presented to validate the proposed approach.

Index Terms:
Three-phase induction motors, speed estimator, artificial neural networks.   


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