• DocumentCode
    391134
  • Title

    Rotor resistance identification for an induction machine via combined adaptive and sliding-mode technique

  • Author

    Bartolini, Giorgio ; Pisano, Alessandro ; Pisu, Pierluigi

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Cagliari Univ., Italy
  • Volume
    1
  • fYear
    2002
  • fDate
    10-13 Dec. 2002
  • Firstpage
    492
  • Abstract
    One of the main problems in induction motor (IM) control is the lack of knowledge about the actual value of the rotor resistance, which is often uncertain and subjected to variations during operation. Due to the unavailability of the rotor electrical quantities, it is not easy to define an output-error suitable to be used as "engine" for an identification mechanism. In the paper, two adaptive/variable-structure identifiers, based on different standing assumptions, are proposed. The high simplicity of the auxiliary system to implement and the low dimension of the associated regressors (to which correspond mild PE requirements) constitute the main novelty, and positive feature, of the proposed approach. Simulations results are provided at the end of the paper.
  • Keywords
    adaptive control; adaptive estimation; induction motors; machine control; observers; parameter estimation; variable structure systems; adaptive identifier; adaptive technique; combined technique; induction machine; induction motor control; parameter identification; rotor resistance identification; sliding mode identifier; sliding-mode technique; variable structure identifier; Adaptive control; Electric resistance; Electrical resistance measurement; Employee welfare; Induction machines; Induction motors; Parameter estimation; Programmable control; Rotors; Sliding mode control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-7516-5
  • Type

    conf

  • DOI
    10.1109/CDC.2002.1184544
  • Filename
    1184544