• DocumentCode
    3164894
  • Title

    Study on the simulation and application of hydraulic servo system of crankshaft straightening machine based on immune neural network PID control algorithm

  • Author

    Shuguang, Ding ; Hua, Zhai ; Guisheng, Gui ; Hua, Li

  • Author_Institution
    Sch. of Mech. & Automobile Eng., Hefei Univ. of Technol., Hefei, China
  • fYear
    2011
  • fDate
    16-18 April 2011
  • Firstpage
    5315
  • Lastpage
    5319
  • Abstract
    The principle of immune feedback and immune-neural network PID algorithm are respectively introduced in this paper. An immune-neural network PID controller is designed by which an adaline neural network is selected as antibody inhibition and adjustment function and the parameters of immune-neural network PID controller are determined by simulation. The transfer function of hydraulic servo system of crankshaft straightening were introduced in different working conditions. The immune-neural network PID controller was applied to hydraulic servo system of crankshaft straightening. The results of simulation and equipment operation shows that it has better control effect and can meet the needs of the hydraulic servo system of crankshaft straightening machine.
  • Keywords
    hydraulic systems; machining; neurocontrollers; servomechanisms; shafts; three-term control; adaline neural network; antibody inhibition; crankshaft straightening machine; hydraulic servo system; immune neural network PID control algorithm; Algorithm design and analysis; Artificial neural networks; Immune system; Process control; Servomotors; Stability analysis; Transfer functions; immune control algorithm; neural network; simulation; straightening machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
  • Conference_Location
    XianNing
  • Print_ISBN
    978-1-61284-458-9
  • Type

    conf

  • DOI
    10.1109/CECNET.2011.5769099
  • Filename
    5769099