• DocumentCode
    3114815
  • Title

    A novel on-line MRAS rotor resistance identification method insensitive to stator resistance for vector control systems of induction machines

  • Author

    Jie Li ; Haipeng Ren ; Qifu Huang ; Yanru Zhong

  • Author_Institution
    Dept. of Electr. Eng., Xi´an Univ. of Technol., Xi´an, China
  • fYear
    2010
  • fDate
    4-7 July 2010
  • Firstpage
    591
  • Lastpage
    595
  • Abstract
    On-line identification and correction of the rotor resistance is essential for improving the static and the dynamic performances of the vector control systems of induction machines. In this paper, a novel MRAS algorithm on-line identifying the rotor resistance, which is completely free from the effects of the stator resistance, is developed. Both the reference model and the adjustable model do not include the stator resistance Rs items. Therefore, the usefulness of the proposed MRAS algorithm is enhanced. Simulation results and experimental results are given to verify the effectiveness and the validity of the proposed MRAS identifier. The impact of the variations of the frequency reference, the load torque and the other motor parameters including the stator resistance on the estimation performance of the rotor resistance is analyzed.
  • Keywords
    asynchronous machines; machine vector control; model reference adaptive control systems; rotors; torque; induction machines; load torque; online MRAS rotor resistance identification method; stator resistance; vector control systems; Adaptation model; Induction motors; Mathematical model; Resistance; Rotors; Stators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics (ISIE), 2010 IEEE International Symposium on
  • Conference_Location
    Bari
  • Print_ISBN
    978-1-4244-6390-9
  • Type

    conf

  • DOI
    10.1109/ISIE.2010.5637258
  • Filename
    5637258