• DocumentCode
    654229
  • Title

    Sensorless induction motor drive with voltage inverter and sine-wave filter

  • Author

    Guzinski, Jaroslaw ; Abu-Rub, Haitham

  • Author_Institution
    Fac. of Electr. & Control Eng., Gdansk Univ. of Technol., Gdansk, Poland
  • fYear
    2013
  • fDate
    17-19 Oct. 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents a speed sensorless control system of an induction motor with an output LC filter. It is known that the parameters design of the filter gives sine wave motor supply voltage but complicates control and estimation process. The reason is that the voltage drop and phase shift between filter input and output signals are imposed, and hence the motor voltages and currents differ from the inverter output waveforms. To overcome this problem proper control and estimation algorithms have to be modified. The control strategy proposed in this paper is based on motor feedback linearization control and multiloop control for LC filter whereas the estimator is a modified Luenberger observer with electromotive force calculation. The performance of the system is verified by simulations and experiments.
  • Keywords
    angular velocity control; electric potential; feedback; induction motor drives; invertors; linearisation techniques; sensorless machine control; electromotive force calculation; modified Luenberger observer; motor feedback linearization control; multiloop control; output LC filter; sensorless induction motor drive; sine-wave filter; speed sensorless control system; voltage drop; voltage inverter; Filtering algorithms; Induction motors; Inverters; Mathematical model; Observers; Sensors; Stators; induction motor drive; observer; sensorless control; sine-wave filter; sinusoidal inverter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics (SLED/PRECEDE), 2013 IEEE International Symposium on
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4799-0680-2
  • Type

    conf

  • DOI
    10.1109/SLED-PRECEDE.2013.6684503
  • Filename
    6684503