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Control of injection velocity using a fuzzy logic rule‐based controller for thermoplastics injection molding

Control of injection velocity using a fuzzy logic rule‐based controller for thermoplastics... Injection velocity to a large degree determines the melt injection rate during the injection phase, and it has critical impact on the molded part quality, such as shrinkage, warpage, and impact strength. An injection molding machine operates with different injection velocity profiles, barrel temperatures, molds, and materials. These strongly different molding conditions cause the injection velocity dynamics to very significantly and to make the control performance of the injection velocity poor with a typical PID controller. A real‐time, closed‐loop feedback and feedforward control system based on fuzzy logic has been designed, developed, and implemented to control the injection velocity. The fuzzy logic rules of the controller are optimized by analyzing phase plane characteristics. The controller output membership functions are optimized based on a 2k factorial design technique. The experimental results reveal that the fuzzy logic‐based controller works well with different molds, materials, barrel temperatures, and injection velocity profiles, indicating that the fuzzy logic controller has superior performance over the conventional PID controller in response speed, set‐point tracking ability, noise rejection, and robustness. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Polymer Engineering & Science Wiley

Control of injection velocity using a fuzzy logic rule‐based controller for thermoplastics injection molding

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References (8)

Publisher
Wiley
Copyright
Copyright © 1999 Society of Plastics Engineers
ISSN
0032-3888
eISSN
1548-2634
DOI
10.1002/pen.11392
Publisher site
See Article on Publisher Site

Abstract

Injection velocity to a large degree determines the melt injection rate during the injection phase, and it has critical impact on the molded part quality, such as shrinkage, warpage, and impact strength. An injection molding machine operates with different injection velocity profiles, barrel temperatures, molds, and materials. These strongly different molding conditions cause the injection velocity dynamics to very significantly and to make the control performance of the injection velocity poor with a typical PID controller. A real‐time, closed‐loop feedback and feedforward control system based on fuzzy logic has been designed, developed, and implemented to control the injection velocity. The fuzzy logic rules of the controller are optimized by analyzing phase plane characteristics. The controller output membership functions are optimized based on a 2k factorial design technique. The experimental results reveal that the fuzzy logic‐based controller works well with different molds, materials, barrel temperatures, and injection velocity profiles, indicating that the fuzzy logic controller has superior performance over the conventional PID controller in response speed, set‐point tracking ability, noise rejection, and robustness.

Journal

Polymer Engineering & Science – Wiley

Published: Jan 1, 1999

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