• DocumentCode
    4500
  • Title

    FPGA Implementation of Model Predictive Control With Constant Switching Frequency for PMSM Drives

  • Author

    Zhixun Ma ; Saeidi, Saeid ; Kennel, Ralph

  • Author_Institution
    Inst. for Electr. Drive Syst. & Power Electron., Tech. Univ. of Munich, Munich, Germany
  • Volume
    10
  • Issue
    4
  • fYear
    2014
  • fDate
    Nov. 2014
  • Firstpage
    2055
  • Lastpage
    2063
  • Abstract
    Field programmable gate array (FPGA) implementation of a model predictive control with constant switching frequency (MPC-CSF) for a permanent magnet synchronous machine (PMSM) is proposed. The basic finite states MPC (FS-MPC) can be combined with a pulsewidth modulation (PWM) modulator because of an effective cost function optimization algorithm in which voltage vectors are dynamically selected and calculated through iteration based on the idea similar to dichotomy. Using model-based design (MBD), MPC-CSF is implemented on an FPGA with parallel and pipeline processing techniques in short execution time. Functionality simulation analysis presents that MPC-CSF is much robust to parameter variations. Experimental results illustrate that MPC-CSF has good dynamic performance for PMSM drives.
  • Keywords
    drives; field programmable gate arrays; machine control; permanent magnet machines; predictive control; synchronous machines; FPGA; MPC-CSF; PMSM drives; constant switching frequency; effective cost function optimization algorithm; field programmable gate arrays; finite states MPC; model predictive control; model-based design; parallel processing; permanent magnet synchronous machine; pipeline processing; pulsewidth modulation modulator; Cost function; Field programmable gate arrays; Mathematical model; Permanent magnet machines; Predictive control; Field programmable gate array (FPGA); model predictive control (MPC); optimization algorithm; permanent magnet synchronous machine (PMSM);
  • fLanguage
    English
  • Journal_Title
    Industrial Informatics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1551-3203
  • Type

    jour

  • DOI
    10.1109/TII.2014.2344432
  • Filename
    6868255