• DocumentCode
    2194133
  • Title

    Sensor integration and state estimation on magnetically levitated rotors

  • Author

    Schuhmann, Th ; Hofmann, W. ; Werner, R.

  • Author_Institution
    Chemnitz Technol. Univ.
  • fYear
    2006
  • fDate
    23-26 May 2006
  • Firstpage
    1172
  • Lastpage
    1177
  • Abstract
    Magnetically levitation of rotors requires accurate measurement of the shaft location. Commonly used position sensors are mounted externally, which can cause system instability. Therefore, an integrated capacitive measurement system has been developed which allows determination of the rotor position exactly in-plane with the magnetic bearing. Sensor noise is reduced significantly by means of an adaptive linear Kalman filter. Additionally, the filter estimates all state variables, which permits utilization of a state space controller. In this paper, a LQG regulator, which was successfully tested with an experimental setup, is described in detail. A procedure for estimating parameters of the magnetic bearing by means of an extended Kalman filter is proposed in conclusion
  • Keywords
    adaptive Kalman filters; capacitive sensors; linear quadratic Gaussian control; machine control; magnetic bearings; magnetic levitation; rotors; state-space methods; LQG regulator; adaptive linear Kalman filter; capacitive measurement system; extended Kalman filter; magnetic bearing; magnetically levitated rotors; shaft location measurement; state space controller; Filters; Magnetic levitation; Magnetic noise; Magnetic sensors; Magnetic separation; Noise reduction; Position measurement; Sensor systems; Shafts; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Electrical Drives, Automation and Motion, 2006. SPEEDAM 2006. International Symposium on
  • Conference_Location
    Taormina
  • Print_ISBN
    1-4244-0193-3
  • Type

    conf

  • DOI
    10.1109/SPEEDAM.2006.1649945
  • Filename
    1649945