• DocumentCode
    2424464
  • Title

    PMSM DTC predictive control system using SVPWM based on the subdivision of space voltage vectors

  • Author

    Liu, Guohai ; Zhang, Yinan ; Chen, Zhaoling ; Jia, Hongping

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
  • fYear
    2009
  • fDate
    17-20 May 2009
  • Firstpage
    1818
  • Lastpage
    1821
  • Abstract
    The continuous improvement of social practical production demands modern motor controlling technology. PMSM has been widely applied to those occasions of high performance because of its excellent performance. However, there are large flux linkage and torque ripples and inconstant switching frequency in the conventional DTC. To solve these problems, PMSM DTC using SVPWM based on the subdivision of space voltage vectors was proposed, in which the calculation of objective space voltage vector was realized by introducing the thought of prediction. This control system was modeled and simulated in Matlab/Simulink, and experimental study was carried on the fully digital platform based on DSP TMS320F2812. Both simulation and experimental results show the validity of the proposed DTC system. Besides, the system can effectively reduce flux linkage and torque ripples with better dynamic and steady performance.
  • Keywords
    digital signal processing chips; machine vector control; permanent magnet motors; predictive control; pulse width modulation; synchronous motors; torque control; DSP TMS320F2812; Matlab-Simulink; PMSM DTC predictive control system; SVPWM; direct torque control; permanent magnet synchronous motor; space vector pulse width modulation; torque ripple reduction; Continuous improvement; Continuous production; Control system synthesis; Couplings; Predictive control; Space technology; Space vector pulse width modulation; Switching frequency; Torque; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Motion Control Conference, 2009. IPEMC '09. IEEE 6th International
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3556-2
  • Electronic_ISBN
    978-1-4244-3557-9
  • Type

    conf

  • DOI
    10.1109/IPEMC.2009.5157689
  • Filename
    5157689