DocumentCode
2255765
Title
Recurrent Neural Network for Induction Motor Speed Estimation in Industry Applications
Author
Goedtel, Alessandro ; da Silva, I.N. ; Serni, Paulo José Amaral
Author_Institution
Dept. of Electr. Eng., Sao Paulo Univ.
fYear
2006
fDate
16-19 May 2006
Firstpage
1134
Lastpage
1137
Abstract
Many electronic drivers for the induction motor control are based on sensorless technologies. The proposal of this work is to present an alternative approach of speed estimation, from transient to steady state, using artificial neural networks. The inputs of the network are the RMS voltage, current and speed estimated of the induction motor feedback to the input with a delay of n samples. Simulation results are also presented to validate the proposed approach
Keywords
electric machine analysis computing; induction motors; production engineering computing; recurrent neural nets; RMS voltage; induction motor speed estimation; industry applications; recurrent neural network; steady state; Artificial neural networks; Delay estimation; Driver circuits; Induction motors; Industry applications; Proposals; Recurrent neural networks; Sensorless control; State estimation; Steady-state;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrotechnical Conference, 2006. MELECON 2006. IEEE Mediterranean
Conference_Location
Malaga
Print_ISBN
1-4244-0087-2
Type
conf
DOI
10.1109/MELCON.2006.1653300
Filename
1653300
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