DocumentCode :
2617477
Title :
Training of a neural network controller for indirect field orientation control
Author :
Mohamadian, M. ; Nowicki, E.P. ; Ashrafzadeh, F. ; Salmon, J.C.
Author_Institution :
Dept. of Electr. Eng., Calgary Univ., Alta., Canada
Volume :
2
fYear :
1996
fDate :
26-29 May 1996
Firstpage :
615
Abstract :
This paper presents the design of an improved neural network controller for the stator current command in an indirect field oriented control system of an induction motor. This controller is superior to a previously proposed controller in that another step is added to the training of the neural network so that the controller is more stable and also the voltage feedbacks are eliminated. Also the number of neurons are reduced which helps practical implementation of the network
Keywords :
electric machine analysis computing; induction motors; learning (artificial intelligence); machine control; neurocontrollers; stators; indirect field orientation control; induction motor; neural network controller training; neural network training; neurons reduction; stator current command; voltage feedbacks elimination; Artificial neural networks; Control systems; Equations; Induction motors; Neural networks; Position control; Rotors; Sampling methods; Stators; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 1996. Canadian Conference on
Conference_Location :
Calgary, Alta.
ISSN :
0840-7789
Print_ISBN :
0-7803-3143-5
Type :
conf
DOI :
10.1109/CCECE.1996.548228
Filename :
548228
Link To Document :
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