• DocumentCode
    1889657
  • Title

    Real-time efficiency optimisation of open-loop controlled synchronous PM motor drive using Adaptive Neural Networks

  • Author

    Al-Taee, Majid A. ; Al-Din, Monaf S. ; AlZu´bi, Hamzah S.

  • Author_Institution
    Comput. Eng. Dept., Univ. of Jordan, Amman, Jordan
  • fYear
    2011
  • fDate
    27-29 April 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Permanent Magnet Synchronous Motors (PMSMs) are prone to instability when operated open loop in variable speed drives. This paper presents a real-time control strategy based on Adaptive Neural Networks (ANN) for efficiency optimisation of a previously reported drive system incorporating a high-field PMSM. Stability constraints of the drive system are used by the proposed controller to maintain both stable and highly efficient operation irrespective of load and supply variations. The obtained results from computer simulation are found in correlation with previously reported experiments and observations.
  • Keywords
    adaptive control; machine control; neurocontrollers; open loop systems; optimisation; permanent magnet motors; real-time systems; stability; synchronous motor drives; adaptive neural networks; drive system; open loop controlled synchronous PM motor drive; permanent magnet synchronous motor; real time efficiency optimisation; speed drive; stability constraints; Artificial neural networks; Optimization; Permanent magnet motors; Reactive power; Stability criteria; Torque; PM motor drive; adaptive neural networks; efficiency optimisation; open-loop control; stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    EUROCON - International Conference on Computer as a Tool (EUROCON), 2011 IEEE
  • Conference_Location
    Lisbon
  • Print_ISBN
    978-1-4244-7486-8
  • Type

    conf

  • DOI
    10.1109/EUROCON.2011.5929196
  • Filename
    5929196