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