Research of High Power Rectifier System Based on Dynamic Diagonal Recurrent Network

被引：0
作者：
Cheng, Liu [1 ]
Yang, Cui [1 ]
机构：
[1] BeiHua Univ, Engn Coll, Sch Elect Informat, Jilin, Peoples R China
来源：
2015 IEEE ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC) | 2015年
关键词：
diagonal recurrent neural network; rectifier; decoupling control; PID control;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：369 / 372
页数：4
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