Speed estimation for induction motor using neural networks method
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Data
2013-07-15
Autores
Goedtel, Alessandro
Nunes Da Silva, Ivan
Jose Amaral Serni, Paulo [UNESP]
Suetake, Marcelo
Franscisco Do Nascimento, Claudionor
Augusto Oliveira Da Silva, Sergio
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Resumo
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. © 2003-2012 IEEE.
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artificial neural networks, speed estimator, Three-phase induction motors, Alternative approach, Experimental datum, Implementation cost, National energy policy, Neural network method, Speed estimation, Speed estimator, Three phase induction motor, Condition monitoring, Electric machinery, Energy policy, Machinery, Neural networks, Starting, Induction motors
Como citar
IEEE Latin America Transactions, v. 11, n. 2, p. 768-778, 2013.