• DocumentCode
    2332490
  • Title

    Adaptive model following speed control method of permanent magnet synchronous motor

  • Author

    Dong, Xu ; Tianmiao, Wang ; Hongxing, Wei ; Jingmeng, Liu

  • Author_Institution
    Sch. of Mech. Eng. & Autom., Beijing Univ. of Aeronaut. & Astronaut., Beijing
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    721
  • Lastpage
    725
  • Abstract
    Permanent magnet synchronous motor (PMSM) servo system requires a high dynamic performance of speed. The control object of speed loop, which can be described using a two-order transfer function, is the PMSM regulated by current loop. PI controller is generally used in speed control, in which the performance improvement is limited by the strong coupling and nonlinearity of the system. In this paper, an adaptive model following speed controller (AMFC) with state feedback control and model following methods is designed based on the Popov hyperstability theory and modeled in the MATLAB. The simulation results show that, compared with PI control, AMFC raises the speed loop dynamic performance of PMSM by compensating the influence of coupling and nonlinearity, so it is more suitable for servo system.
  • Keywords
    permanent magnet motors; servomechanisms; servomotors; synchronous motors; transfer functions; velocity control; MATLAB; PI controller; Popov hyperstability theory; adaptive model following speed controller; current loop; permanent magnet synchronous motor; servo system; speed control method; state feedback control; two-order transfer function; Adaptive control; Couplings; Mathematical model; Nonlinear control systems; Nonlinear dynamical systems; Permanent magnet motors; Programmable control; Servomechanisms; Transfer functions; Velocity control; PMSM; adaptive; model following; speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138299
  • Filename
    5138299