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