• DocumentCode
    1685969
  • Title

    Different viable torque control schemes of induction motor for electric propulsion systems

  • Author

    Vasudevan, M ; Arumugam, R.

  • Author_Institution
    St. Joseph´´s Coll. of Eng., Chennai, India
  • Volume
    4
  • fYear
    2004
  • Firstpage
    2728
  • Abstract
    This work presents a detailed comparison between various control strategies, emphasizing advantages and disadvantages. The scope of This work is to choose an adaptive induction motor drive for an electric propulsion system. Recent advances in induction motor control have made it suitable for fast dynamic response applications. In this paper, the performance of the various control schemes such as indirect field oriented control (IFOC), direct field oriented control (DFOC), direct torque control (DTC) and neuro-fuzzy DTC (DTNFC) are evaluated. The analysis has been carried out on the basis of the results obtained by numerical simulations. A new estimator is also designed to estimate the stator resistance of induction motor. The sensitivity of DTC to temperature variations, leading to stator resistance changes, is eliminated by online estimation of stator resistance. In this paper, detailed analysis and investigation are carried out and an adaptive control is proposed for electric propulsion system.
  • Keywords
    adaptive control; dynamic response; electric machine analysis computing; electric propulsion; fuzzy control; induction motor drives; machine vector control; mathematics computing; neurocontrollers; numerical analysis; sensitivity; stators; torque control; ANFIS; Matlab-Simulink; adaptive control; direct field oriented control; direct torque control; dynamic response; electric propulsion systems; indirect field oriented control; induction motor drive; neuro-fuzzy control; numerical simulation; sensitivity; stator resistance; temperature variations; Adaptive control; Control systems; Electric resistance; Inductance; Induction motors; Propulsion; Rotors; Sensorless control; Stators; Torque control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 2004. 39th IAS Annual Meeting. Conference Record of the 2004 IEEE
  • ISSN
    0197-2618
  • Print_ISBN
    0-7803-8486-5
  • Type

    conf

  • DOI
    10.1109/IAS.2004.1348861
  • Filename
    1348861