• DocumentCode
    230195
  • Title

    Nonlinear adaptive control of induction motor with sliding mode flux observer

  • Author

    Zhang, Wensheng ; Chen, Jiann-Jong ; Ren, Yi ; Li, Luoqing ; Yao, Wei ; Jiang, L.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. of Liverpool, Liverpool, UK
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    2738
  • Lastpage
    2742
  • Abstract
    This paper investigates a nonlinear adaptive controller (NAC) with sliding mode flux observer (SMFO) for induction motor (IM), which mainly deal with the unknown time-varying nonlinearities and disturbances. In the NAC design, all nonlinearities are assumed unknown, and included in a perturbation term, together with uncertainties and disturbances. The perturbation term is estimated by an extended-state observer (ESO) and the online estimate of the perturbation is used to achieve adaptive linearization. Moreover, a SMFO is employed to estimate the rotor flux. The proposed control method provides a satisfactory speed tracking performance in the presence of parameter variations and load torque disturbance. The performance of the proposed controller is verified by simulation studies and experiments.
  • Keywords
    adaptive control; control nonlinearities; control system synthesis; induction motors; linearisation techniques; machine control; nonlinear control systems; observers; perturbation techniques; time-varying systems; uncertain systems; variable structure systems; ESO; IM; NAC design; SMFO; adaptive linearization; extended-state observer; induction motor; load torque disturbance; nonlinear adaptive control; parameter variations; perturbation term; rotor flux estimation; sliding mode flux observer; time-varying nonlinearities; uncertainties; Adaptive control; Induction motors; Load modeling; Observers; Rotors; Stators; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ICEMS.2014.7013964
  • Filename
    7013964