• DocumentCode
    3328265
  • Title

    Simulation and Optimal Design for RF MEMS Cantilevered Beam Switch

  • Author

    Gong, Yanjue ; Zhao, Fu ; Xin, Hongbing ; Lin, Jianlong ; Bai, Qiao

  • Author_Institution
    Coll. of Mech. Eng., Beijing Technol. & Bus. Univ., Beijing, China
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    84
  • Lastpage
    87
  • Abstract
    The mechanical and electric characteristics of RF switch significantly depend on its structural parameters, so itpsilas important to design and optimize the structure of the RF MEMS switch. This article proposes a kind of RF MEMS switch structure with special cantilevered beam section. The modal analysis is implemented by the finite element software ANSYS. And the structure parameters of the cantilevered beam are optimized with the methods of orthogonal experiment, BP neural network and genetic algorithm (GA). The validity simulation of the optimization is verified by the analyses of the random vibration and harmonic response. The results show that RF MEMS switch with optimized cantilevered beam structure has lower actuation voltage, higher dynamic stiffness.
  • Keywords
    beams (structures); cantilevers; elastic constants; finite element analysis; genetic algorithms; harmonic analysis; microswitches; modal analysis; neural nets; vibrations; ANSYS; BP neural network; RF MEMS cantilevered beam switch; actuation voltage; dynamic stiffness; electric characteristics; finite element software; genetic algorithm; harmonic response; mechanical characteristics; modal analysis; optimal design; random vibration; structural parameters; Design optimization; Electric variables; Finite element methods; Modal analysis; Optimization methods; Radio frequency; Radiofrequency microelectromechanical systems; Structural beams; Structural engineering; Switches; RF MEMS switch; finite element analysis; optimal design; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Computer and Communication, 2009. FCC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3676-7
  • Type

    conf

  • DOI
    10.1109/FCC.2009.45
  • Filename
    5235700