• DocumentCode
    2920692
  • Title

    Adaptive fuzzy control of a pilot turbo-generator plant

  • Author

    Lown, M. ; Swidenbank, E. ; Hogg, B.W.

  • Author_Institution
    Queen´´s Univ., Belfast, UK
  • fYear
    1997
  • fDate
    35551
  • Firstpage
    42522
  • Lastpage
    42526
  • Abstract
    In this paper, the authors have proposed a complete design method for a self-organising fuzzy logic excitation system, which combines the AVR and PSS functions. A novel online training algorithm is developed which modifies the fuzzy rule base. Analysis shows that a globally converged control surface is obtained to achieved the desired performance over the full range of operating conditions and disturbances. The performance of the fuzzy logic controller is evaluated in comparison with a self-tuning regulator in simulation and on a laboratory micromachine
  • Keywords
    turbogenerators; adaptive control; excitation system; fuzzy control; fuzzy logic; fuzzy rule base; online training algorithm; pilot turbo-generator plant; self-organising control; self-tuning regulator; synchronous generators;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Industrial Applications of Intelligent Control (Digest No: 1997/144), IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19970787
  • Filename
    640884