期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：2
页码：592
DOI：10.15680/IJIRSET.2015.0402069
出版社：S&S Publications
摘要：Extrusion is a critical operation in the thermoplastic processing industry since all commercial polymersare compounded. In polymer extrusion, the delivery of a melt which is homogenous in composition and temperature isparamount for achieving high quality extruded products. During the process of extrusion, the quality of the productfluctuates within a certain range due to the variation in the properties of materials, or the operating environmentincluding the system disturbances. This may introduce defects to the end product. A number of control methodologieshave been proposed to regulate the product quality in literatures. A simple methodology can be a model-based intervaltype2 fuzzy logic control (IT2FLC) control linking the output at the die to the input parameter. However, advancementsin process control are required to reduce temperature variations across the melt flow which can result in poor productquality. The majority of thermal monitoring methods provides only low accuracy point/bulk melt temperaturemeasurements and cause poor controller performance. Furthermore, the most common conventional Proportional-Integral-Derivative (PID) controllers seem to be incapable of performing well over the nonlinear operating region. Thispaper presents a model-based interval type-2 fuzzy logic control (IT2FLC) approach to reduce the die melt temperaturevariations across the melt flow while achieving desired average die melt temperature. Simulation results confirm theefficacy of the proposed controller.
