• DocumentCode
    2841672
  • Title

    Three-motor synchronous decoupling control based on BP neural network

  • Author

    Liu, Xingqiao ; Zhang, Xiangmei ; Hu, Jianqun ; Yang Liu ; Liu, Guohai ; Zhao, Liang

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    5365
  • Lastpage
    5368
  • Abstract
    A synchronous control system for three-motor is presented in this paper. The control system includes three intelligent PID controllers based on BP neural network arithmetic which adjusts the parameters of PID controllers on-line, and neuron decoupling compensator fulfilling open loop decoupling of multi-variable. The results of experiment indicates that the control system can get some optimal parameters of the PID controllers according to different running state of system, and has better performances of dynamic and static status comparing to traditional PID, and realizes the better decoupling control of speed and tension in the system.
  • Keywords
    backpropagation; intelligent control; machine control; neurocontrollers; synchronous motors; velocity control; BP neural network; intelligent PID controllers; neuron decoupling compensator; open loop decoupling; speed control; tension control; three-motor synchronous decoupling control; Automatic control; Control systems; Micromotors; Neural networks; Neurons; Nonlinear control systems; Open loop systems; Optimal control; Synchronous motors; Three-term control; BP neural network; decoupling control; neuron decoupling; synchronous control system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5195072
  • Filename
    5195072