• DocumentCode
    2859659
  • Title

    Passivity-based adaptive sliding-mode speed control for IPMSM drive systems

  • Author

    Jen-te Yu ; Cheng-Kai Lin ; Li-Chen Fu ; Tian-Hua Liu

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    2945
  • Lastpage
    2950
  • Abstract
    A passivity-based adaptive sliding-mode control is proposed for speed tracking of interior permanent magnet synchronous motor drive systems. Firstly, a nonlinear model of the IPMSM is given with uncertainties embeded. Through adaptive feedback passivation design, the closed-loop system is shown to be feedback equivalent to a strictly passive system with a designated input. The unknown system parameters are dealt with by designed adaptation laws in parallel with the design of the controller. Maximum torque per ampere condition is met through the design of d- and q-axis currents, which serve as the inputs to the motor. Asymptotic stability of closed loop system is proven by passivity theorem and Barbalat´s lemma. Simulation results show good speed tracking response and good performance.
  • Keywords
    adaptive control; asymptotic stability; closed loop systems; control system synthesis; feedback; machine control; nonlinear control systems; permanent magnet motors; synchronous motor drives; tracking; variable structure systems; Barbalat lemma; IPMSM drive system; adaptation law; adaptive feedback passivation design; asymptotic stability; closed-loop system; controller design; d-axis current; interior permanent magnet synchronous motor drive system; maximum torque per ampere condition; nonlinear model; passivity theorem; passivity-based adaptive sliding-mode speed control; q-axis current; speed tracking response; unknown system parameters; Adaptive systems; Equations; Mathematical model; Simulation; Sliding mode control; Torque; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5991558
  • Filename
    5991558