• DocumentCode
    1703047
  • Title

    A type of MSMA electro-hydraulic servo valve based on neural network inverse system control

  • Author

    Zhang An-yu ; Tu Fu-quan ; Chen Kui-sheng ; Ren Yin-mei

  • Author_Institution
    Coll. of Mech. & Autom., Wuhan Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2013
  • Firstpage
    1013
  • Lastpage
    1016
  • Abstract
    A new electro-hydraulic servo valve based on magnetic shape memory alloys was proposed in this paper and complete structure of the valve is established. In addition, the open loop transfer function of the new servo valve is written. The proposed servo valve has ascendant performance compared with conventional ones because new materials are applied. In order to improve control performance, neural network inverse system is adopted to control the valve to solve the problem of high nonlinearity and uncertainty. Utilizing the SIMULINK module of MATLAB 7.0, we established the control diagram, and the simulation results show significant advantages compared with conventional control methods.
  • Keywords
    electrohydraulic control equipment; neural nets; transfer functions; valves; MATLAB 7.0; MSMA electro-hydraulic servo valve; SIMULINK module; magnetic shape memory alloys; neural network inverse system control; open loop transfer function; Actuators; Magnetic field induced strain; Magnetostriction; Materials; Neural networks; Servomotors; Valves; control method; magnetic shape memory alloys; neural network inverse system; servo valve;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Conference_Location
    Xi´an
  • Type

    conf

  • Filename
    6639575