• DocumentCode
    1876506
  • Title

    Fuzzy logic applications to high performance drives with special reference to reluctance motors

  • Author

    Nagrial, Mahmood ; Qureshi, M.T. ; Mohamed, Mostafa A.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Univ. of Western Sydney, Kingswood, NSW, Australia
  • Volume
    1
  • fYear
    1997
  • fDate
    26-29 May 1997
  • Firstpage
    193
  • Abstract
    This paper reviews the applications of fuzzy and neuro-fuzzy control to DC and AC drives. It also reviews the application in VR drive systems. It is concluded that further research work is required in this area as VR drives are quite nonlinear electromagnetic structures. Fuzzy and neuro-fuzzy control techniques are ideal solutions to control of reluctance drives
  • Keywords
    fuzzy control; fuzzy neural nets; machine control; neurocontrollers; reluctance motor drives; fuzzy control; high performance drives; neuro-fuzzy control; nonlinear electromagnetic structures; reluctance motors; variable reluctance drive systems; Artificial neural networks; Control systems; Electric variables control; Fuzzy control; Fuzzy logic; Magnetic variables control; Nonlinear control systems; Power electronics; Reluctance motors; Torque control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Drive Systems, 1997. Proceedings., 1997 International Conference on
  • Print_ISBN
    0-7803-3773-5
  • Type

    conf

  • DOI
    10.1109/PEDS.1997.618694
  • Filename
    618694