• DocumentCode
    666222
  • Title

    Speed and rotor position estimation of the PMSM by cascaded sliding mode observers with single and double compound manifolds

  • Author

    Comanescu, Mihai

  • Author_Institution
    Penn State Altoona, Altoona, PA, USA
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    3154
  • Lastpage
    3158
  • Abstract
    The paper presents a method to estimate the EMFs and the speed of the permanent magnet synchronous motor (PMSM). The method uses only the measured voltages and currents of the motor; estimation is done using cascaded sliding mode (SM) observers. A first observer estimates the EMFs of the motor in the stationary reference frame; these are obtained by filtering the manifolds of the SM observer. The EMFs are passed to a second SM observer that estimates the speed and re-estimates the EMFs. The method is applicable in sensorless speed controlled PMSM drives where the EMFs are used to obtain the rotor position angle and the estimated speed is used for feedback. The paper discusses the EMF observer - this is a SM design that uses simple manifolds. Then, two versions of the speed observer are presented: the first design uses a single compound manifold; the second uses two manifolds. For both speed observers, the estimated speed of the PMSM is obtained by filtering the switching manifolds of the observer. The theoretical developments are supported with simulations.
  • Keywords
    drives; electric potential; permanent magnet motors; rotors; synchronous motors; EMF; PMSM drives; cascaded sliding mode observers; permanent magnet synchronous motor; rotor position estimation; sensorless speed control; speed position estimation; Compounds; Filtering; Manifolds; Observers; Permanent magnet motors; Rotors; permanent magnet synchronous motor; rotor position estimation; sensorless control; sliding mode observers; speed estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
  • Conference_Location
    Vienna
  • ISSN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2013.6699632
  • Filename
    6699632