• DocumentCode
    2189899
  • Title

    A fuzzy logic controller based indirect field-oriented induction motor drive system

  • Author

    Tewari, A. ; Tripathi, A. ; Das, S.P.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Kanpur, India
  • Volume
    2
  • fYear
    2000
  • fDate
    19-22 Jan. 2000
  • Firstpage
    359
  • Abstract
    The paper presents simulation and experimental results obtained from an indirect fuzzy vector controlled induction motor drive under varying operating conditions like step change in speed command and step change in torque command. The superiority of fuzzy controller over conventional controllers in handling nonlinear system such as an induction motor has been effectively demonstrated by comparing the response of the drive system using fuzzy controller with that using a PI controller. The drive system is implemented with a Pentium PC, which uses a high performance data acquisition card for current/speed sampling and to generate the appropriate signals for the control of inverter switches. The present work exploits the advantages offered by a PC based implementation such as user friendliness, ease of programming and minimal amount of hardware circuitry required.
  • Keywords
    bang-bang control; control system synthesis; electric current control; fuzzy control; induction motor drives; invertors; machine vector control; magnetic variables control; switching circuits; two-term control; PI controller; Pentium PC; bang bang control; controller design; current sampling; fuzzy controller superiority; fuzzy logic controller; hardware circuitry; high performance data acquisition card; indirect field-oriented induction motor drive; indirect fuzzy vector control; inverter switches control; nonlinear system handling; programming; speed command; speed sampling; step change; torque command; user friendliness; varying operating conditions; Control systems; Data acquisition; Fuzzy control; Fuzzy logic; Fuzzy systems; Induction motor drives; Induction motors; Nonlinear control systems; Nonlinear systems; Torque control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology 2000. Proceedings of IEEE International Conference on
  • Print_ISBN
    0-7803-5812-0
  • Type

    conf

  • DOI
    10.1109/ICIT.2000.854182
  • Filename
    854182