• DocumentCode
    2748241
  • Title

    Real-time observer for the vector control of an induction motor drive

  • Author

    Gray, Donald ; Szekely, Zoltan ; Apostoaia, Constantin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Purdue Univ. Calumet, Hammond, IN, USA
  • fYear
    2009
  • fDate
    7-9 June 2009
  • Firstpage
    411
  • Lastpage
    416
  • Abstract
    Using vector control (VC) theory for AC machines can result in high performance speed and torque responses. An induction machine driven by a vector control system exhibits behavior similar to a separately excited DC machine with independently controlled flux and torque. In this paper the d-q model of an induction motor drive is used to derive the state space matrix representation of the drive system. A state observer model using the machine currents and speed measurements is analyzed. The estimator is derived by direct synthesis from the state equations. A space vector pulse width modulation (SV-PWM) inverter is used to supply the power waveforms to the induction motor. The model implementation and system simulation is performed using MATLAB/Simulink software. Finally, the overall vector control system is validated in real-time using a hardware in loop (HIL) system based on the dSPACE CLP1104 control board.
  • Keywords
    PWM power convertors; induction motor drives; machine vector control; observers; real-time systems; MATLAB/Simulink software; d-q model; dSPACE CLP1104 control board; induction motor drives; machine vector control; real-time observer; space vector pulse width modulation; state space matrix representation; AC machines; Control systems; DC machines; Induction machines; Induction motor drives; Machine vector control; Mathematical model; Power system modeling; Torque control; Virtual colonoscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electro/Information Technology, 2009. eit '09. IEEE International Conference on
  • Conference_Location
    Windsor, ON
  • Print_ISBN
    978-1-4244-3354-4
  • Electronic_ISBN
    978-1-4244-3355-1
  • Type

    conf

  • DOI
    10.1109/EIT.2009.5189652
  • Filename
    5189652