A nonlinear model-based predicitve controller for injection speed

Ma'moun Abdel Abu-Ayyad, Rickey Dubay, Jose Mauricio Hernandez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In this work, a unique approach for designing a nonlinear regression model-based predictive controller (NRPC) for controlling the injection speed of 150 tonne injection molding machine. The innovation of this strategy is that the controller structure allows nonlinear open-loop modeling to be conducted while closed-loop control is executed every sampling instant. Consequently, the system matrix is regenerated every sampling instant using a continuous function providing a more accurate prediction of the plant. The proposed algorithm is implemented on controlling the screw speed for injecting plastic into a mold and controlling the temperature of three steel cylinders inside a barrel in order to melt the plastic. The experimental closed-loop responses of the proposed algorithm were compared to a multi-model dynamic matrix controller (DMC) with improved results for various setpoint trajectories. Good disturbance rejection was attained resulting in improved tracking of multi-setpoint profiles in comparison to multi-model DMC.

Original languageEnglish (US)
Title of host publication67th Annual Technical Conference of the Society of Plastics Engineers 2009, ANTEC 2009
Pages2923-2929
Number of pages7
StatePublished - Nov 25 2009
Event67th Annual Technical Conference of the Society of Plastics Engineers 2009, ANTEC 2009 - Chicago, IL, United States
Duration: Jun 22 2009Jun 24 2009

Publication series

NameAnnual Technical Conference - ANTEC, Conference Proceedings
Volume5

Other

Other67th Annual Technical Conference of the Society of Plastics Engineers 2009, ANTEC 2009
CountryUnited States
CityChicago, IL
Period6/22/096/24/09

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Polymers and Plastics

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