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
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;
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
DOI :
10.1109/ICECS.1999.813412
