DocumentCode :
396670
Title :
Direct torque control of induction motors by use of the GMR neural network
Author :
Cirrincione, Giansalvo ; Cirrincione, Maurizio ; Lu, Chuan ; Pucci, Marcello
Author_Institution :
Dept. of Electr. Eng., Univ. of Picardie-Jules Verne, Amiens, France
Volume :
3
fYear :
2003
fDate :
20-24 July 2003
Firstpage :
2106
Abstract :
This paper deals with the application of the General Mapping Regressor (GMR) neural network to the direct torque control DTC of an induction motor. In particular it shows that the GMR neural network is able to correctly learn the classical DTC, as well as any other more involved control strategy. A suitable test bench has been set up in order to verify the performance of the neural controller.
Keywords :
electric drives; induction motors; neural nets; torque control; GMR neural network; direct torque control; electric drives; general mapping regressor neural network; induction motors; neural controller; Automation; Induction motors; Intelligent networks; Intelligent systems; Joining processes; Modems; Neural networks; Pattern recognition; Testing; Torque control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN :
1098-7576
Print_ISBN :
0-7803-7898-9
Type :
conf
DOI :
10.1109/IJCNN.2003.1223733
Filename :
1223733
Link To Document :
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