The application of predictive fuzzy logic controller in temperature control of phenol-formaldehyde manufacturing - Using MATLAB-SIMULINK methodology

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4565, Issue , 2001, Pages 101-109

  Yaacob, Sazali ^a   Nagarajan, R ^a   Kenneth, T T K ^a  

^a UNIVERSITI MALAYSIA SABAH   (Malaysia)

Author keywords

Fuzzy logic; MATLAB SIMULINK; Nonlinear system; Predictive controller

Indexed keywords

COMPUTER CONTROL; COMPUTER SIMULATION; EXPERT SYSTEMS; FUZZY SETS; GENETIC ALGORITHMS; NEURAL NETWORKS; PARAMETER ESTIMATION; THREE TERM CONTROL SYSTEMS;

PREDICTIVE CONTROLLERS;

FUZZY CONTROL;

EID: 0035766533     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.443121     Document Type: Conference Paper

References (18)

1. M. Makinen, P. Kalliokoski and J. Kangsa, "Assessment of Total Exposure to Phenol Formaldehyde Resin Glue in Plywood Manufacturing," Int Arch Occup Environ Health 72, pp.309-314, 1999.
2. R. Nagarajan, R.N. Kumar, R.A. Halim and Arman Rosli, "A Predictive Fuzzy Logic Controller for Resin Manufacturing," Computers and Ind. Engg, 34(2), pp.493-500, 1998.
3. M.R. Juba and J.W. Hamer, "Progress and Challenges in Batch Process Control," Proceedings of the CPC III, CHACE, Amsterdam, Netherlands, 1986.
4. R. Berber, "Control of Batch Reactors: Review," Trans IchemE, 74 (A), pp.3-20, 1996.
5. R.S. Davidson, "Using Process Information to Control a Multipurposes Batch Chemical Reactor," Computers Chem. Engng, 13, pp. 83-85, 1989.
6. G. Stephanopoulos and C.C. Han, Intelligent Systems in Process Engineering, Academic Press, 1996.
7. M. Jamishidi, N. Vadie and T. Ross, Fuzzy Logic and Control - Software and Hardware Applications, Prentice Hall, 1993.
8. John Yen, Reza Langari and Lotfi A. Zadeh, Industrial Applications of Fuzzy Logic and Intelligent Systems, IEEE Press, 1995.
9. Fuzzy Logic Toolbox User's Guide, Mathworks, Inc, 1999.
10. Jerzy Moscinski and Zbigniew Ogonowski, Advanced Control with Matlab & Simulink, Ellis Horwood, 1995.
11. E.F. Camacho and C. Bordons, Model Predictive Control in the Process Industry, Springer, 1995.
12. E.S. Cuellar, J.L Corondo, C.G.Moreno and J.M.C. Izquierdo, "Neuro-Fuzzy Architecture in a Batch Reactor Temperature Control System," IEEE International Symposium on Intelligent Control, pp. 11-15, 1994.
13. C. Batur and V. Kasparian, "Adaptive Expert Control," Int. J. Control 54(4), pp.867-881, 1991.
14. J.A. Bernard, "Use of Rule-based system for Process Control," IEEE Contr. Syst. Mag., 8, pp.3-13, 1988.
15. P.J. King and E.H. Mamdani, "The application of Fuzzy Control System to Industrial Processes," Automica, 13, pp.235-242, 1977.
16. T.J.Procyk and E.H. Mamdani, "A Linguistic Self-organising Process Controller", Automica, 15, pp. 15-30, 1979.
17. R. Nagarajan and R.N. Kumar, "A Predictive Fuzzy Logic Controller with an Adaptive Loop for the Manufacture of Resin Adhesives," accepted, Computer and Ind. Engg, 2001.
18. E.F. Camacho and C. Bordons, Model Predictive Control In The Process Industry, p. 40, Springer, 1995.