Title :
Research of high power rectifier system based on dynamic diagonal recurrent network
Author :
Liu Cheng;Cui Yang
Author_Institution :
School of Electric Information Engineering College, BeiHua University, Jilin City, China
Abstract :
A PID decoupling control method is designed on the basis of diagonal recurrent neural network(DRNN) for the currents flowing over the transistors which are large fluctuations, and is not balanced by three-phase current, And 12 PID controller are used in parallel as the decoupling controller to realize decoupling and control. The practice proven the system can improve the smelting quality and reduce the waste. It can also extend the life of the transformer for the rectifier.
Keywords :
"Recurrent neural networks","Rectifiers","Control systems"
Conference_Titel :
Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2015 IEEE
Print_ISBN :
978-1-4799-1979-6
DOI :
10.1109/IAEAC.2015.7428577
