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

Sazali Yaacob, and Nagarajan, Ramachandran and Kenneth, Treharne T. K. (2001) 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, 4565. pp. 101-109. ISSN 0277-786X

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Abstract

In polymer industries, the automation and control of reactors due to the progress in the areas of fuzzy control, neural networks, genetic algorithms, and expert systems lead to more secured and stable operation. When phenol and formaldehyde are mixed together, sudden heat is produced by the nonlinear exothermal reaction. Since sudden heat is liberated, polymerisation process requires precise temperature control to avoid temperature run-away and the consequent damage to expensive materials. In practice, human involvement has been a source of errors that affects the quality of the product. This research proposes a design methodology for a sensor based computer control system. The duration of ON and OFF time of the relays is the parameters to be controlled in order to keep the exothermic reaction under control. This paper discusses a detailed simulation study of this exothermal process using MATLAB-SIMULINK-Fuzzy Logic toolbox. The model for the simulation study is derived from the constructed thermal system and responses are obtained. A predictive FLC structure is developed and compared to a classical PID control structure. Simulation results are obtained to ensure that the predictive FLC is better in controlling the reaction temperature.

Item Type: Article
Uncontrolled Keywords: Fuzzy logic, Matlab-Simulink, Nonlinear system, Predictive controller, Computer control, Computer simulation, Expert systems, Fuzzy sets, Genetic algorithms, Neural networks, Parameter estimation, Three term control systems Predictive controllers, Fuzzy control
Subjects: Q Science > QA Mathematics
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: Unnamed user with email storage.bpmlib@ums.edu.my
Date Deposited: 02 Feb 2012 06:45
Last Modified: 23 Feb 2015 03:16
URI: http://eprints.ums.edu.my/id/eprint/3433

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