• DocumentCode
    3403431
  • Title

    Simulation solenoid valve for controller design and evaluation

  • Author

    Arain, M.A. ; Scotson, P.G.

  • Author_Institution
    Lucas Res., Solihull, UK
  • fYear
    1992
  • fDate
    29 Jun-1 Jul 1992
  • Firstpage
    236
  • Lastpage
    240
  • Abstract
    The problem of controller design and evaluation requires simulation of the nonlinear plant, which is difficult In this example, a neural network is trained to behave exactly as the real plant (a nonlinear solenoid valve with position control), which can then be used in place of the real valve for safe testing of the controller. An advantage of this technique is that the neural network can also be used to monitor the functioning of the valve. The neural network can then act as for fault detection
  • Keywords
    control system CAD; neural nets; nonlinear control systems; solenoids; valves; controller CAD; design; fault detection; function monitoring; neural network; solenoid valve simulation; Artificial neural networks; Neural networks; Neurons; Nonlinear dynamical systems; Position control; Predictive models; Signal processing algorithms; Solenoids; Testing; Valves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles '92 Symposium., Proceedings of the
  • Conference_Location
    Detroit, MI
  • Print_ISBN
    0-7803-0747-X
  • Type

    conf

  • DOI
    10.1109/IVS.1992.252263
  • Filename
    252263