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Estimator‐Based LQR Control Model for Glass Fiber Furnace
Author(s) -
Liu Songke,
Banta Larry E.
Publication year - 2012
Publication title -
international journal of applied glass science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.383
H-Index - 34
eISSN - 2041-1294
pISSN - 2041-1286
DOI - 10.1111/j.2041-1294.2012.00086.x
Subject(s) - glass fiber , materials science , breakage , fiber , process (computing) , process control , temperature control , work (physics) , extrusion , control system , mechanical engineering , process engineering , composite material , computer science , engineering , electrical engineering , operating system
Drawing of glass fibers is an important industrial process used for manufacture of a variety of materials. A variety of furnaces and machines exist for manufacture of glass fibers, but all share similar problems with control of the fiber diameter and breakage of the fibers during the extrusion process. In many cases, control systems are not configured to monitor the most critical process variable — temperature of molten glass in the furnace, but instead use only furnace crown temperature. This work seeks to develop an estimator‐based LQR control model to monitor molten glass temperature and winder speed for good production quality. When a disturbance in ambient temperature and/or molten glass depth happens, the control system still performs as expected.