• DocumentCode
    2539487
  • Title

    Adaptive Stator Resistance Estimation Method for Speed Sensorless DTC Controlled IM Drives

  • Author

    Nian, Xiaohong ; Wang, Tao ; Wang, Jian ; Gui, Weihau ; Huang, Jirong

  • Author_Institution
    School of Information Science and Engineering, Central South University, 410075, Changsha, P. R. China; Zhuzhou Electric Locomotive Research Institute, 412001, Zhuzhou, P. R. China
  • fYear
    2007
  • fDate
    Feb. 25 2007-March 1 2007
  • Firstpage
    214
  • Lastpage
    221
  • Abstract
    Accurate knowledge of stator resistance is of utmost importance for correct operation of a number of speed sensorless induction motor control schemes. Since stator resistance inevitably varies with operating conditions, stable and accurate operation of speed requires an appropriate online identification algorithm for the stator resistance. In this paper, a robust full-order adaptive flux observer is designed for a speed sensorless DTC-controlled induction motor drive in which the stator resistance value is updated during operation and a new speed-adaptive law is given. By using robust control theory, the constant observer gain is obtained by solving two bilinear matrix inequalities. The stability of the flux observer is ensured in a sufficiently large symmetric interval include zero point. Therefore, the sensorless drive system is capable of steadily working in whole speed range from very low speed to high speed and exhibits good dynamic and steady-state performance. The proposed speed estimator with parallelled stator resistance identification is at first verified by simulation. Extensive experimentation is conducted next.
  • Keywords
    Adaptive control; Induction motor drives; Induction motors; Linear matrix inequalities; Programmable control; Robust control; Robustness; Sensorless control; Stators; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Power Electronics Conference, APEC 2007 - Twenty Second Annual IEEE
  • Conference_Location
    Anaheim, CA, USA
  • ISSN
    1048-2334
  • Print_ISBN
    1-4244-0713-3
  • Type

    conf

  • DOI
    10.1109/APEX.2007.357517
  • Filename
    4195721