• DocumentCode
    2128492
  • Title

    Real-time performance of a nonlinear controller based IM drive

  • Author

    Uddin, M. Nasir ; Nam, Sang Woo

  • Author_Institution
    Dept. of Electr. Eng., Lakehead Univ., Thunder Bay, ON
  • fYear
    2008
  • fDate
    4-7 May 2008
  • Abstract
    This paper presents the real-time performance evaluation of a nonlinear controller for speed control of an induction motor (IM) drive. Neglecting the iron loss in an induction motor model causes performance deterioration. In this work, an adaptive backstepping based nonlinear controller incorporating the iron loss is developed under the parameter uncertainties. The adaptive backstepping technique is utilized to estimate the parameters online and maintain the global stability of the drive. The proposed controller is successfully implemented in real time using a digital signal processor board DS 1104 for a laboratory 1/3 hp IM. Experimental results show that the proposed controller achieves rotor speed tracking objectives successfully and improves dynamic responses as compared to the one without parameter adaptation.
  • Keywords
    adaptive control; digital signal processing chips; dynamic response; induction motor drives; machine control; nonlinear control systems; parameter estimation; rotors; stability; velocity control; DS 1104 digital signal processor board; adaptive backstepping; dynamic response; global stability; induction motor drive; iron loss; nonlinear control; parameter estimation; rotor speed tracking; speed control; Adaptive control; Backstepping; Induction motors; Iron; Parameter estimation; Performance loss; Programmable control; Stability; Uncertain systems; Velocity control; Adaptive Backstepping Design; Digital Signal Processor and Real-Time Implementation; Induction Motor; Nonlinear Control; Speed Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-1642-4
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2008.4564511
  • Filename
    4564511