DocumentCode :
2025430
Title :
An ANN model for SCR voltage regulator driven induction motor with dynamic loads
Author :
Jingyi, Jiang ; Weiqi, Chen
Author_Institution :
Daqing Pet. Inst., Hebei, China
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
661
Abstract :
A model for a SCR voltage regulator driven induction motor with dynamic loads is built, which is based on the Elman neural network with a regression unit, making use of dynamic backpropagation (BP) learning. The approach has advantages over the traditional BP method with resonance and slow convergence rate. Our simulations show that this method has a high convergence rate.
Keywords :
backpropagation; induction motor drives; nonlinear systems; recurrent neural nets; thyristors; voltage control; Elman neural network; SCR voltage regulator; backpropagation; convergence; dynamic loads; induction motor drive; learning; nonlinear systems; recurrent neural network; regression unit; Artificial neural networks; Backpropagation; Convergence; Induction motors; Load modeling; Neural networks; Regulators; Resonance; Thyristors; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
Type :
conf
DOI :
10.1109/WCICA.2002.1022195
Filename :
1022195
Link To Document :
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