• DocumentCode
    2131534
  • Title

    Real-time expert control for turbogenerator systems

  • Author

    Flynn, D. ; Swidenbank, E. ; Hogg, B.W. ; Zachariah, K.J.

  • Author_Institution
    Queen´´s Univ., Belfast, UK
  • Volume
    2
  • fYear
    1994
  • fDate
    21-24 March 1994
  • Firstpage
    1495
  • Abstract
    When implemented in practice, adaptive controllers incorporate substantial monitoring or jacketing software schemes. The introduction of an expert system to perform such duties allows a distinction to be made between the control and identification algorithms, and the accompanying supervisory functions. The self-tuning expert controller has been established on an industry standard VME platform linked to a network of Inmos T800 transputers. Illustrations are given of how the performance and robustness of an adaptive controller, applied to turbogenerator excitation control, can be greatly improved through expert system intervention, on a laboratory micromachine system.
  • Keywords
    adaptive control; computerised control; expert systems; machine control; real-time systems; stability; transputers; turbogenerators; Inmos T800 transputers; adaptive controllers; identification algorithms; industry standard VME platform; laboratory micromachine system; real-time expert control; robustness; self-tuning expert controller; supervisory functions; turbogenerator excitation control;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Control, 1994. Control '94. International Conference on
  • Conference_Location
    Coventry, UK
  • Print_ISBN
    0-85296-610-5
  • Type

    conf

  • DOI
    10.1049/cp:19940358
  • Filename
    327264