DocumentCode
349209
Title
Identification and control of an asynchronous machine using neural networks
Author
Zergaoui, Abdelghani ; Bennia, Abdelhak
Author_Institution
Inst. d´´Electron., Univ. Mentouri, Constantine, Algeria
Volume
2
fYear
1999
fDate
5-8 Sep 1999
Firstpage
1043
Abstract
In this work, we present the application of artificial neural networks to the identification and control of the asynchronous motor, which is a complex nonlinear system with variable internal dynamics. We show that neural networks can be applied to control the statoric currents of the induction motor. The results of the different simulations are presented to evaluate the performance of the neural controller proposed
Keywords
identification; induction motors; machine control; neurocontrollers; nonlinear control systems; artificial neural networks; asynchronous machine; complex nonlinear system; identification; motor control; neural controller; statoric currents; variable internal dynamics; Adaptive control; Artificial neural networks; Autoregressive processes; Control systems; Induction motors; Intelligent control; Neural networks; Nonlinear control systems; Nonlinear systems; Process control;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 1999. Proceedings of ICECS '99. The 6th IEEE International Conference on
Conference_Location
Pafos
Print_ISBN
0-7803-5682-9
Type
conf
DOI
10.1109/ICECS.1999.813412
Filename
813412
Link To Document