• DocumentCode
    591656
  • Title

    LPV observer for PMSM with systematic gain design via convex optimization, and its extension for standstill estimation of the position without saliency

  • Author

    Zgorski, A. ; Bayon, B. ; Scorletti, G. ; Xuefang Lin-Shi

  • Author_Institution
    Sagem Defense Securite, Valence, France
  • fYear
    2012
  • fDate
    21-22 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a new efficient and systematic method to optimize the gain of the Linear Parameter-Varying (LPV) observer for a surface-mounted Permanent Magnet Synchronous Motor (PMSM). The said gain will be calculated by convex optimization to induce a convergence of the observer in a predetermined speed range. An extension of the observer to zero-speed estimation of position is also proposed, using a new model of the machine taking an injection signal into account, and without the use of saliency.
  • Keywords
    convex programming; observers; permanent magnet motors; position control; sensorless machine control; synchronous motors; LPV observer; PMSM; convex optimization; injection signal; linear parameter-varying observer; model-based sensorless control; position control; position zero-speed estimation; standstill position estimation; surface-mounted permanent magnet synchronous motor; systematic gain design; systematic method; Convex functions; Estimation error; Observability; Observers; Permanent magnets; Systematics; LPV observer; Linear Matrix Inequalities (LMI); Model-based sensorless control; PMSM; Position Control; Zero-speed Observer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensorless Control for Electrical Drives (SLED), 2012 IEEE Symposium on
  • Conference_Location
    Milwaukee, WI
  • ISSN
    2166-6725
  • Print_ISBN
    978-1-4673-2966-8
  • Type

    conf

  • DOI
    10.1109/SLED.2012.6422818
  • Filename
    6422818