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
Link To Document :
بازگشت