• DocumentCode
    495240
  • Title

    Application on Rotor Vibration Control of SMA Model Based on Multivariate Statistical Analysis

  • Author

    Zhu, Zhi-Wen ; Wang, Hong-li ; Xu, Jia

  • Author_Institution
    Coll. of Mech. Eng., Tianjin Univ., Tianjin, China
  • Volume
    5
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    440
  • Lastpage
    445
  • Abstract
    In this paper, a kind of shape memory alloy (SMA) model based on multivariate statistical analysis was developed and applied in vibration control on rotor system with SMA bearing. Hysteretic nonlinear theory was introduced to interpret the difference between loading and unloading curve of SMA. Stepwise multiple regression method was applied in finding the relationship among strain, stress and temperature. The bifurcation characteristic of rotor system with shape memory alloy bearings (SMAB) was analyzed in improved centre manifold method. Finally the stability of rotor system with SMA bearing in PID control was proved. The new SMA model can describe the strain-stress curves of SMA in different temperatures well, and broadens the region of controlling temperature, which is helpful to vibration control.
  • Keywords
    alloys; bifurcation; machine bearings; machine control; nonlinear control systems; regression analysis; rotors; temperature control; three-term control; vibration control; PID control; SMA bearing; bifurcation characteristic; hysteretic nonlinear theory; multivariate statistical analysis; rotor vibration control; shape memory alloy model; stepwise multiple regression method; strain-stress curves; temperature control; Bifurcation; Capacitive sensors; Hysteresis; Shape memory alloys; Stability; Statistical analysis; Stress; Temperature; Three-term control; Vibration control; Multivariate Statistical Analysis; Rotor Vibration; SMA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.832
  • Filename
    5170574