• DocumentCode
    3491027
  • Title

    Adaptive output feedback tracking control for induction motors with uncertain load torque and resistances

  • Author

    Marino, R. ; Tomei, P. ; Verrelli, C.M.

  • Author_Institution
    Dipt. di Ing. Elettron., Univ. di Roma Tor Vergata, Rome, Italy
  • fYear
    2010
  • fDate
    14-16 June 2010
  • Firstpage
    419
  • Lastpage
    424
  • Abstract
    The problem of guaranteeing rotor speed and flux modulus tracking on the basis of rotor speed and stator currents measurements is addressed and solved for induction motors with uncertain constant load torque and stator and rotor resistances. A new nonlinear adaptive control algorithm is designed, which relies on a closed loop adaptive observer providing estimates for the unmeasured state variables and for the uncertain parameters. Local exponential stability of the origin of the closed loop tracking and estimation error dynamics is guaranteed under persistency of excitation conditions and under suitable assumptions imposing a sufficiently slow adaptation for the stator resistance estimate.
  • Keywords
    adaptive control; asymptotic stability; closed loop systems; feedback; induction motors; machine control; nonlinear control systems; observers; adaptive output feedback tracking control; closed loop adaptive observer; closed loop tracking; estimation error dynamics; flux modulus tracking; induction motors; local exponential stability; nonlinear adaptive control algorithm; rotor resistances; rotor speed measurements; rotor speed tracking; state variable estimation; stator current measurements; stator resistance estimation; uncertain constant load torque; Adaptive control; Algorithm design and analysis; Current measurement; Induction motors; Observers; Output feedback; Programmable control; Rotors; Stators; Torque control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Electrical Drives Automation and Motion (SPEEDAM), 2010 International Symposium on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-1-4244-4986-6
  • Electronic_ISBN
    978-1-4244-7919-1
  • Type

    conf

  • DOI
    10.1109/SPEEDAM.2010.5545114
  • Filename
    5545114