• DocumentCode
    482381
  • Title

    Nonlinear dynamics of rotor system in electrical spindle equipped with AMB

  • Author

    Zhang, Gang ; Liang, Shipo ; Zhang, Biao ; Liu, Ying ; Liu, Ruwei ; Guo, Kunfeng ; Cheng, Gao

  • Author_Institution
    Inst. of Bearing, Shanghai Univ., Shanghai
  • fYear
    2008
  • fDate
    17-20 Oct. 2008
  • Firstpage
    650
  • Lastpage
    655
  • Abstract
    Taking an electric spindle equipped with AMB as the research object, this paper have established the non-linear dynamic model of five degrees of freedom for the rotor-AMB system, and carried on the numerical solution using the principle of multi-scale method and combined with the numerical analysis method. Besides, from the nonlinear viewpoint, the dynamic characteristics of rotor-AMB system have been studied. The bifurcation and chaos phenomenon of five degrees of freedom systems have been analyzed else. The results show, in the nonlinear scope, the rotor can appear the instability in certain situations, so there is a question to judge the stability. The partial bifurcation curves generally enter from the sub-critical bifurcation region to the supercritical bifurcation region, and then return to the sub-critical bifurcation region once more. The chaos phenomenon confirmed that, the rotor system can appear the chaos phenomenon under the certain condition, when striding across the critical speeds the chaos phenomenon is quite obvious.
  • Keywords
    machine bearings; magnetic bearings; nonlinear dynamical systems; numerical analysis; rotors; electrical spindle; multi-scale method; nonlinear dynamics; numerical analysis method; partial bifurcation curves; rotor system; Bifurcation; Chaos; Displacement control; Electromagnetic forces; Force control; Magnetic levitation; Mathematical model; Nonlinear dynamical systems; Numerical analysis; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3826-6
  • Electronic_ISBN
    978-7-5062-9221-4
  • Type

    conf

  • Filename
    4770785