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