• DocumentCode
    145528
  • Title

    Adaptive Sliding Mode Position Control for Electrical Motors

  • Author

    Barambones, Oscar ; Alkorta, Patxi ; Gonzalez de Durana, Jose Maria

  • Author_Institution
    Dept. of Autom. Control & Syst. Eng., Univ. of the Basque Country, Vitoria, Spain
  • Volume
    2
  • fYear
    2014
  • fDate
    10-13 March 2014
  • Firstpage
    17
  • Lastpage
    23
  • Abstract
    An adaptive sliding mode position control for induction motors using field oriented control theory is presented. The proposed sliding-mode control law incorporates an adaptive switching gain to avoid calculating an upper limit of the system uncertainties. The design incorporates a flux estimator that operates on the principle of flux and current observer. The proposed observer is basically an estimator that uses a plant model and a feedback loop with measured stator voltages and currents. The stability analysis of the proposed controller under parameter uncertainties and load disturbances is provided using the Lyapunov stability theory. Finally experimental results show that the proposed controller with the proposed observer provides high-performance dynamic characteristics and that this scheme is robust with respect to plant parameter variations and external load disturbances.
  • Keywords
    Lyapunov methods; adaptive control; control system synthesis; feedback; induction motors; machine control; observers; position control; stability; uncertain systems; variable structure systems; Lyapunov stability theory; adaptive sliding mode position control law; adaptive switching uncertainties; controller deign; electrical motors; external load disturbances; feedback loop; field oriented control theory; flux estimator; high-performance dynamic characteristics; induction motors; observer; parameter uncertainties; plant model; plant parameter variations; stability analysis; stator current measurement; stator voltage measurement; system uncertainties; upper limit; Equations; Induction motors; Mathematical model; Observers; Rotors; Torque; Uncertainty; Adaptive Control; Induction Motor; Position Control; Sliding Mode Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
  • Conference_Location
    Las Vegas, NV
  • Type

    conf

  • DOI
    10.1109/CSCI.2014.88
  • Filename
    6822297