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.
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;
Conference_Titel :
Electrotechnical Conference, 2006. MELECON 2006. IEEE Mediterranean
Conference_Location :
Malaga
Print_ISBN :
1-4244-0087-2
DOI :
10.1109/MELCON.2006.1653300
