• DocumentCode
    3758714
  • 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
  • fYear
    2015
  • Firstpage
    369
  • Lastpage
    372
  • 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"
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2015 IEEE
  • Print_ISBN
    978-1-4799-1979-6
  • Type

    conf

  • DOI
    10.1109/IAEAC.2015.7428577
  • Filename
    7428577