Extruder Melt Temperature Control with Fuzzy Logic

Chamil Abeykoon, Kang Li, Marion McAfee, Peter J. Martin, George W. Irwin

Research output: Contribution to conferencePaper

11 Citations (Scopus)

Abstract

In polymer extrusion, the delivery of a melt which is homogenous in composition and temperature is paramount for achieving high quality extruded products. However, advancements in process control are required to reduce temperature variations across the melt flow which can result in poor product quality. The majority of thermal monitoring methods provide only low accuracy point/bulk melt temperature measurements and cause poor controller performance. Furthermore, the most common conventional proportional-integral-derivative controllers seem to be incapable of performing well over the nonlinear operating region. This paper presents a model-based fuzzy control approach to reduce the die melt temperature variations across the melt flow while achieving desired average die melt temperature. Simulation results confirm the efficacy of the proposed controller.
Original languageEnglish
Pages8577-8582
Number of pages6
DOIs
Publication statusPublished - 2011
Event18th IFAC World Congress - Milan, Italy
Duration: 01 Aug 201101 Aug 2011

Conference

Conference18th IFAC World Congress
CountryItaly
CityMilan
Period01/08/201101/08/2011

Bibliographical note

ISBN: 978-3-902661-93-7

Keywords

  • Nonlinear process control
  • Process control applications
  • Industrial applications of process control

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  • Cite this

    Abeykoon, C., Li, K., McAfee, M., Martin, P. J., & Irwin, G. W. (2011). Extruder Melt Temperature Control with Fuzzy Logic. 8577-8582. Paper presented at 18th IFAC World Congress, Milan, Italy. https://doi.org/10.3182/20110828-6-IT-1002.01576