DocumentCode :
3352289
Title :
A Neural Network Based Optimal Rotor Flux Estimator for Efficiency Optimization of an Induction Motor Drive
Author :
Aguilar, G. Mino ; Eguilaz, J. M Moreno ; Pryymak, B. ; Peracaula, J.
Author_Institution :
Dept. of Electron. Eng., Catalonia Tech. Univ., Barcelona
Volume :
3
fYear :
2006
fDate :
9-13 July 2006
Firstpage :
2528
Lastpage :
2534
Abstract :
In this paper, a vector-controlled induction motor drive with efficiency optimization using a neural network based approach is presented. On-line estimators for rotor resistance and mutual inductance provide additional inputs for the neural network. Modeling and simulation results are presented to demonstrate the validity of the proposed method
Keywords :
induction motor drives; machine vector control; neurocontrollers; optimal control; induction motor drive; mutual inductance; neural network; optimal rotor flux estimator; rotor resistance; vector-controlled induction motor drive; Copper; Inductance; Induction motor drives; Induction motors; Iron; Magnetic flux; Magnetic losses; Neural networks; Rotors; Stators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2006 IEEE International Symposium on
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0496-7
Electronic_ISBN :
1-4244-0497-5
Type :
conf
DOI :
10.1109/ISIE.2006.295970
Filename :
4078645
Link To Document :
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