Title :
Advanced application of statistical and fuzzy control to textile processes
Author :
Vachtsevanos, George J. ; Dorrity, J. Lewis ; Kumar, Amit ; Kim, Sungshin
Author_Institution :
Georgia Inst. of Technol., Atlanta, GA, USA
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-limits 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; moisture control; process computer control; statistical process control; textile industry; velocity control; beamer drive; command signals generation; computer simulation; control strategy; creel; creep speed; expert system; failure conditions detection; failure conditions identification; fuzzy control; hierarchical level; low level control; normal speed; size box drying section; slasher control parameters; slashing operation; statistical control; textile processes; transient speed; warping; Computational modeling; Computer simulation; Creep; Expert systems; Fuzzy control; Level control; Signal generators; Signal processing; Textiles; Weaving;
Journal_Title :
Industry Applications, IEEE Transactions on
