• DocumentCode
    154423
  • Title

    A gain-scheduled multivariable LQR controller for permanent magnet synchronous motor

  • Author

    Brasel, Michal

  • Author_Institution
    Fac. of Electr. Eng., West Pomeranian Univ. of Technol., Szczecin, Szczecin, Poland
  • fYear
    2014
  • fDate
    2-5 Sept. 2014
  • Firstpage
    722
  • Lastpage
    725
  • Abstract
    The paper presents a gain-scheduled LQR control system for a nonlinear model of permanent magnet synchronous motor (PMSM). The most popular cascade FOC (Field Oriented Control) structure including a few single-loop PI control systems is replaced with a single multivariable state feedback controller. Due to a nonlinear nature of the PMSM dynamics equations the developed gain-scheduled controller is tuned in relation to the changeable operating conditions of the motor. In order to ensure zero steady-state speed error the system synthesis is carried out by means of the LQ optimal control method with state vector augmentation. The presented simulation results show that the use of gain-scheduled controller may improve control quality.
  • Keywords
    PI control; cascade control; linear quadratic control; machine control; multivariable control systems; nonlinear control systems; permanent magnet motors; state feedback; synchronous motors; vectors; LQ optimal control method; PMSM dynamics equations; cascade FOC structure; cascade field oriented control structure; control quality improvement; gain-scheduled LQR control system; gain-scheduled controller tuning; gain-scheduled multivariable LQR controller; nonlinear model; permanent magnet synchronous motor; single multivariable state feedback controller; single-loop PI control systems; state vector augmentation; system synthesis; zero steady-state speed error; Adaptation models; Control systems; Mathematical model; Permanent magnet motors; Rotors; Torque; Vectors; Gain-scheduled LQR controller; Multivariable Control Systems; Nonlinear Systems; Permanent Magnet Synchronous Motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Methods and Models in Automation and Robotics (MMAR), 2014 19th International Conference On
  • Conference_Location
    Miedzyzdroje
  • Print_ISBN
    978-1-4799-5082-9
  • Type

    conf

  • DOI
    10.1109/MMAR.2014.6957443
  • Filename
    6957443