• DocumentCode
    229699
  • Title

    An improved current predictive control algorithm in the application of 22 KW variable speed permanent magnet synchronous motor

  • Author

    Hang Zhang ; Weiguo Liu

  • Author_Institution
    Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    556
  • Lastpage
    562
  • Abstract
    According to the characteristics of permanent magnet synchronous motor(PMSM), to ensure high dynamic performance of the electric drive system, this paper presents an improved current predictive control algorithm to predict quadrature axis current. In order to reduce the phenomenon that traditional PI regulator predictive control method has high accuracy requirements on the motor itself parameter and adjust time is long, and it is easy to over-characterize. The proposed algorithm compare the difference of adjacent cycle control model and eliminate same part based on the current predictive control model. Through the difference equation of current projections, select the optimal voltage vector to achieve the current closed-loop control. To calculate the inverter switch status of the next cycle, output switch commands to inverter and verified based on the experimental platform of 22 KW variable speed permanent magnet synchronous motor.
  • Keywords
    closed loop systems; difference equations; electric current control; invertors; machine control; permanent magnet motors; predictive control; synchronous motor drives; variable speed drives; PMSM; adjacent cycle control model; current closed-loop control; current predictive control algorithm; difference equation; electric drive system; inverter switch status; optimal voltage vector selection; power 22 kW; quadrature axis current prediction; variable speed permanent magnet synchronous motor; Equations; Mathematical model; Permanent magnet motors; Prediction algorithms; Predictive control; Stator windings; Synchronous motors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ICEMS.2014.7013548
  • Filename
    7013548