• DocumentCode
    1756020
  • Title

    Comparison of the Two Current Predictive-Control Methods for a Segment-Winding Permanent-Magnet Linear Synchronous Motor

  • Author

    Junjie Hong ; Donghua Pan ; Zhijian Zong

  • Author_Institution
    Sch. of Eng., Sun Yat-Sen Univ., Guangzhou, China
  • Volume
    41
  • Issue
    5
  • fYear
    2013
  • fDate
    41395
  • Firstpage
    1167
  • Lastpage
    1173
  • Abstract
    A sectioned-winding permanent-magnet linear synchronous motor (SW-PMLSM) is proposed in this paper, whose iron core is continuous, whereas winding is divided. The model of the SW-PMLSM is derived after the section structure and the winding distribution are introduced. The basic theory and implementation of the current error vector-based predictive control (CEVPC) and space-vector pulse-width modulation deadbeat-predictive control (SVPWM-DBPC) are proposed. The moving stroke of the SW-PMLSM is divided into five zones according to the position of the secondary, and the implementations for both control methods are investigated in the five zones. Simulation results of both control methods validate the excellent dynamic performance and show that the SVPWM-DBPC is better than the CEVPC.
  • Keywords
    electric current control; linear synchronous motors; machine control; machine windings; permanent magnet motors; predictive control; pulse width modulation; CEVPC; SVPWM-DBPC; SW-PMLSM; current error vector-based predictive control; dynamic performance; secondary position; segment-winding permanent-magnet linear synchronous motor; space-vector pulse-width modulation deadbeat-predictive control; two current predictive-control methods; winding distribution; Mathematical model; Predictive control; Space vector pulse width modulation; Switches; Synchronous motors; Vectors; Windings; Current error vector based predictive control (CEVPC); current predictive control; sectioned winding permanent magnet linear synchronous motor (SW-PMLSM); space vector pulse width modulation deadbeat predictive control (SVPWM-DBPC);
  • fLanguage
    English
  • Journal_Title
    Plasma Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-3813
  • Type

    jour

  • DOI
    10.1109/TPS.2013.2249115
  • Filename
    6478836