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×published date:2023-Jul-14
FULL TEXT in - | page 208 - 216
Abstract
Textile industry deals with the production of fabrics using several weaving equipment. One of such is the pirn winding machine used for weft yarn winding. A major constraint of the machine is the tension control at different segments along the yarn path to the yarn balloon. This paper furthers on the tension variation model experiments by EASK Fernando and TSS Jayawardana in 2013 with the aim of developing the pirn winding tension model and optimising the tension winding dynamic response with a Fuzzy-PID controller. The experiment was simulated on MATLAB-Simulink. It was observed that the Fuzzy-PID controlled characteristics significantly improved the system dynamic response when compared with Ziegler Nichols PID tuning and the closed-loop system without PID. The Fuzzy-PID controller had no tension overshoot, a rise-time of 10s and settling time of 12s while the ZN-PID had a tension overshoot 20% with a rise time and settling time of 15s and 16s respectively. The outcome of the experiment suggestively demonstrates that the application of Fuzzy-PID controller for tension control will prevent damage to fabrics during winding operations of weft yarns.
Keywords: Fuzzy-PID controller, MATLAB-Simulink, Dynamic response Tension control Pirn winding,,
Atieh A. Z., Mohammad A. T., Hooshang N. and Marzie A. (2015), “On-line Loom Weft Density Control System Design” Journal of Engineered Fibers and Fabrics, Volume 10, Issue 4, http://www.jeffjournal.org
Babuska, R. (1998). “Fuzzy Modeling for Control”, Kluwer Academic Publishers.
Bassett, R.J. Postle, R. and Pan, N. (1999). “Grip Point Spacing along the Edges of an Anisotropic Fabric Sheet in a Biaxial Tensile Test”, Polymer composites, Vol. 20, No. 2
FULL TEXT in - | page 208 - 216
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