DocumentCode :
2359595
Title :
DSP implementation of an artificial neural network for induction motor control
Author :
Mohamadian, Mustafa ; Nowicki, E.P. ; Chu, A. ; Ashrafzadeh, F. ; Salmon, J.C.
Author_Institution :
Dept. of Electr. Eng., Calgary Univ., Alta., Canada
Volume :
2
fYear :
1997
fDate :
25-28 May 1997
Firstpage :
435
Abstract :
A neural network controller which is trained to perform as an indirect field oriented controller is implemented on a Texas Instruments TMS320C30 digital signal processor (DSP) based system. The computation error at the output of the neural network is investigated and some practical aspects of implementing the neural network on the DSP board is discussed. Experimental results are presented to demonstrate the performance of the controller
Keywords :
digital control; digital signal processing chips; induction motors; learning (artificial intelligence); machine control; machine theory; neurocontrollers; power engineering computing; DSP implementation; artificial neural network; computation error; control performance; indirect field oriented control; induction motor control; training; Angular velocity control; Artificial neural networks; Control systems; Digital signal processing; Digital signal processors; Induction motors; Instruments; Neural networks; Neurons; Stators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on
Conference_Location :
St. Johns, Nfld.
ISSN :
0840-7789
Print_ISBN :
0-7803-3716-6
Type :
conf
DOI :
10.1109/CCECE.1997.608251
Filename :
608251
Link To Document :
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