• DocumentCode
    2086462
  • Title

    Inverse system decoupling control of electric spindle system supported by AC AMB

  • Author

    Zhu Dehong ; Wang Peng ; Cheng Xin ; Zhu Huangqiu

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    3538
  • Lastpage
    3543
  • Abstract
    A dynamic decoupling control approach based on inverse system theory is developed for the electric spindle system supported by 5 degree-of-freedom (DOF) AC active magnetic bearings(AMB), which is multi-variable, nonlinear and strong coupling system. The state equations of the 5-DOF AC AMB are set up based on the configuration of 5-DOF AC AMB being introduced and mathematical models of axial and radial suspension forces being given. The reversibility of the system of 5-DOF AC AMB is analyzed, the state feedback algorithm based on a-th order inverse system method is deduced, and the original nonlinear coupled system is decoupled into pseudo-linear system. The linear quadranic optimum control theory is applied to synthesize the pseudo-linear system, and the system of simulation was set up based on MATLAB. The simulation experiments have shown that this decoupling control strategy can realize dynamic decoupling control among 5 degrees of freedom of the electric spindle system, the rotor can be suspended steadily and the system has good dynamic and static performance.
  • Keywords
    inverse problems; linear quadratic control; linear systems; machine bearings; machine control; machine tool spindles; magnetic bearings; rotors; state feedback; suspensions (mechanical components); 5 DOF AC active magnetic bearings; 5-DOF AC AMB; MATLAB; decoupling control strategy; dynamic decoupling control approach; electric spindle system; inverse system decoupling control; inverse system method; inverse system theory; linear quadranic optimum control theory; original nonlinear coupled system; pseudolinear system; radial suspension forces; rotor; state equations; state feedback algorithm; Control systems; Equations; Magnetic levitation; Mathematical model; Nonlinear dynamical systems; Silicon; Suspensions; AC; AMB; Decoupling Control; Inverse System; State Equations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5572627