• DocumentCode
    3247775
  • Title

    Adaptive sliding mode observer for speed sensorless control of induction motors

  • Author

    Parasiliti, Francesco ; Petrella, Roberto ; Tursini, Marco

  • Author_Institution
    Dept. of Electr. Eng., Univ. of l´´Aquila, Italy
  • Volume
    4
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    2277
  • Abstract
    This paper presents an adaptive sliding mode observer for speed sensorless field-oriented control of induction motors. The observer detects the rotor flux components in the two-phase stationary reference frame by the motor electrical equations. The motor speed is identified by an additional relation obtained by a Lyapunov function. The analytical development of the sliding observer and the speed identification algorithm is fully explained. Experimental results are presented, based on a TMS320F240 DSP controller implementation, showing the system performance with different observer gains and the influence of the motor parameters deviations
  • Keywords
    adaptive control; angular velocity control; digital signal processing chips; induction motor drives; machine vector control; magnetic flux; observers; rotors; variable structure systems; Lyapunov function; TMS320F240 DSP controller; adaptive sliding mode observer; drive system; field-oriented control; induction motors; motor electrical equations; motor parameters deviations; motor speed identification; observer; rotor flux components detection; sliding observer; speed identification algorithm; speed sensorless control; two-phase stationary reference frame; Adaptive control; Algorithm design and analysis; Digital signal processing; Equations; Induction motors; Lyapunov method; Programmable control; Rotors; Sensorless control; Sliding mode control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 1999. Thirty-Fourth IAS Annual Meeting. Conference Record of the 1999 IEEE
  • Conference_Location
    Phoenix, AZ
  • ISSN
    0197-2618
  • Print_ISBN
    0-7803-5589-X
  • Type

    conf

  • DOI
    10.1109/IAS.1999.799161
  • Filename
    799161