DocumentCode :
327131
Title :
Neural network current controller for a boost rectifier
Author :
Worthmann, Cedrtc ; Diana, Greg
Author_Institution :
Dept. of Electr. Eng., Natal Univ., Dalbridge, South Africa
Volume :
1
fYear :
1998
fDate :
7-10 Jul 1998
Firstpage :
234
Abstract :
This paper investigates the use of a continuously on-line trained artificial neural network current controller for a boost rectifier, to determine the viability for its use in variable speed drives, to overcome voltage dips on the mains supply. The paper analyzes simulation results of a continuous on-line trained artificial neural network controller for a variable speed drive system, and shows that this current controller is dependent on the magnitude and frequency of the supply or load currents, and the artificial neural network´s internal variables. The paper indicates the advantages and disadvantages of a neural network current controller, and show that an artificial neural network current controller can be used with a boost rectifier, to overcome mains voltage dips
Keywords :
electric current control; induction motor drives; invertors; learning (artificial intelligence); machine control; neurocontrollers; power engineering computing; rectifying circuits; squirrel cage motors; variable speed drives; ANN internal variables; boost rectifier; continuously on-line trained ANN; current controller; load currents frequency; load currents magnitude; mains voltage dips; neural network current controller; squirrel cage induction motor; supply currents magnitude; supply frequency; variable speed drive system; variable speed drives; voltage source inverter; Analytical models; Artificial neural networks; Control systems; Impedance; Inverters; Neural networks; Rectifiers; Variable speed drives; Voltage control; Voltage fluctuations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 1998. Proceedings. ISIE '98. IEEE International Symposium on
Conference_Location :
Pretoria
Print_ISBN :
0-7803-4756-0
Type :
conf
DOI :
10.1109/ISIE.1998.707783
Filename :
707783
Link To Document :
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