• DocumentCode
    3435648
  • Title

    Advanced application of statistical and fuzzy control to textile processes

  • Author

    Vachtsevanos, G. ; Dorrity, J.L. ; Kumar, A. ; Kim, S.S.

  • Author_Institution
    Georgia Inst. Technol., Atlanta, GA, USA
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    42522
  • Lastpage
    42529
  • Abstract
    A new control strategy is proposed to optimize the slasher control parameters and the slashing operation during normal, transient and creep speed. An expert system detects and identifies off-limit or failure conditions and generates command signals for low-level control of slasher components such as creel, size box drying section, and beamer drive. It also addresses the issues of system integration between warping and weaving at a hierarchical level. Simple process models for each section of a slasher are simulated on computers. Simulated results from these models demonstrate that the control strategy is efficient and robust.
  • Keywords
    expert systems; fuzzy control; hierarchical systems; optimal control; process computer control; statistical process control; textile industry; application; command signals; expert system; hierarchical level; low-level control; optimal control; process computer control; robust; slasher control; statistical control; textile processes; warping; weaving; Computational modeling; Control systems; Creep; Expert systems; Fuzzy control; Process control; Signal generators; Signal processing; Size control; Textiles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Textile, Fiber and Film Industry Technical Conference, 1993., IEEE 1993 Annual
  • Conference_Location
    Atlanta, GA, USA
  • Print_ISBN
    0-7803-1275-9
  • Type

    conf

  • DOI
    10.1109/TEXCON.1993.255781
  • Filename
    255781