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