• DocumentCode
    2170765
  • Title

    Research of neural network controller based on FPGA

  • Author

    Baofeng, Lv ; Guoxiang, Zhang ; Jingyu, Guo ; Dan, Chen

  • Author_Institution
    Autom. & Electr. Eng. Coll., Tianjin Univ. of Technol. & Educ., Tianjin, China
  • fYear
    2011
  • fDate
    9-11 Sept. 2011
  • Firstpage
    2237
  • Lastpage
    2240
  • Abstract
    This paper first introduces the characteristics of the neural network, and designs the neural network PID controller based on FPGA, and then designs the hardware structure of the whole temperature control system through the analysis of the serial communication FPGA, and finally the paper introduces the has software design and simulation for the temperature control system. The simulation results indicate that the neural network PID controller has a faster response speed and stronger anti-interference ability, and this system has stable performance and reliable operation, has the very good practical value.
  • Keywords
    field programmable gate arrays; neurocontrollers; temperature control; three-term control; anti-interference ability; neural network PID controller; neural network controller; serial communication FPGA; software design; temperature control system; Biological neural networks; Field programmable gate arrays; Pulse width modulation; Software algorithms; Temperature control; Temperature measurement; FPGA; PID controller; control algorithm; the BP neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Communications and Control (ICECC), 2011 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4577-0320-1
  • Type

    conf

  • DOI
    10.1109/ICECC.2011.6066390
  • Filename
    6066390