Design of Multimodel based MPC and IMC control schemes applied to injection molding machine

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    Good control of plastic melt temperature for injection molding is very important in reducing operator setup time, ensuring product quality, and preventing thermal degradation of the melt. The controllability and set points of barrel temperature also depend on the precise monitoring and control of plastic melt temperature. Motivated by the practical temperature control of injection molding, this paper proposes MPC and IMC based control scheme. A robust system identification and control methodology is developed which uses canonical varieties analysis for identification and model predictive control for regulation. The injection molding process consists of three zones and the mathematical model for each of the zone is different. The control output for each zone controller is assigned a weight based on the computed probability of each model and the resulting action is the weighted average of the control moves of the individual zone controllers.

    Keywords: Injection-Molding Machine (IMM), IMC Control, Temperature Control.


  • References


    1. Tao Liu, Ke Yao and Furong Gao, Identification and autotuning of temperature control system with application to injection molding, IEEE transactions on control systems technology, Vol.17, No.6,2009, pp 1282 1294.
    2. Rickey Dubay and Chris Diduch , Temperature control in injection molding ,Part I: Modelling and Identification Polymer Engineering and Science, Vol.44,Dec 2004 No.12, pp 2308 2317.
    3. Dominick V. Rosato, Injection molding handbook, Third edition, Kluwer Academic Publishers, 2000.
    4. Rickey Dubay,and Adam C.Bell , Control of plastic melt temperature Polymer Engineering and Science, Vol.37, 1997 No.9, pp 1550 1562.
    5. Rickey Dubay and Chris Diduch , Temperature control in injection molding Part II:,Controller design, simulation, and Implementation Polymer Engineering and Science, Vol.44, Dec 2004 No.12, pp 2318 2326.
    6. J.A.Rossitier Model based predictive control A practical apparoach CRC press,UK
    7. Donald E.Gustafson,William M.Lebow Model Predictive contol of Injection molding machine Proceedings of the 26th conference on decision and control,Los Angels,CA,Dec 1987.
    8. Prasanth Ambady,David Kazmer,Model Predictive control of Injection Molding
    9. T.A. Badgwell, S.J. Qin, Nonlinear Predictive Control, chapter Review of Nonlinear Model Predictive Control Applications, IEE Control Engineering series, 2001.
    10. Wojsznis.W, Gudaz.J, Blevins.T, Mehta.A, Practical approach to tuning MPC, ISA Transactions, 2003.
    11. Nicolae Constantin, Predictive Control Based on Multimodel Estimation, Studies in Informatics and control, June 2004.
    12. Rui Wang, Keiji Watanabe, Eiichi Muramatsu, Yuichi Ariga, Shigeru Endo, Robust Control via Internal Model principle, Proceedings of the 17th International Symposium on Mathematical theory of Networks and Systems, July 2006.
    13. Michael A. Henson and Dale E. Seborg An Internal model control strategy for nonlinear systems, AIChE Journal, July 1991.
    14. Luisella Balbis Reza katebi and Andrzi Ordys Model predictive control design for industrial applications University of strathclyde,UK.

 

View

Download

Article ID: 1844
 
DOI: 10.14419/ijet.v3i2.1844




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.