Control of exothermic batch process using multivariable genetic algorithm

Min, Keng Tan and Chuo, Helen Sin Ee and Farm, Yan Yan and Heng, Jin Tham and Teo, Kenneth Tze Kin (2021) Control of exothermic batch process using multivariable genetic algorithm. International Journal of Simulation: Systems, Science and Technology, 13. pp. 19-25. ISSN 1473-8031

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Abstract

The aim of this research is to control the reactor temperature of an exothermic batch process. During the process, large amount of heat will be released rapidly when the reactants are mixed together. The exothermic behaviour causes the reaction to become unstable and consequently poses safety concern to the plant personnel. In practice, heat is needed to speed up the reaction rate so that the overall process cycle time can be reduced whereas the cooling is employed to cool down the reactor in order to reduce excessive heat. Hence, this paper proposes genetic algorithm (GA) to control the process temperature with a predetermined temperature profile. GA exploits the probabilistic search method to optimise the specific objective function based on the evolutionary principle. Simulation assessment of the GA has been carried out using a benchmark exothermic batch process model. The results show that GA is able to control the reactor temperature effectively.

Item Type:	Article
Keyword:	Exothermic batch process , Genetic algorithm , Multivariable control
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Department:	FACULTY > Faculty of Engineering
Depositing User:	SITI AZIZAH BINTI IDRIS -
Date Deposited:	29 Jul 2021 21:45
Last Modified:	29 Jul 2021 21:45
URI:	https://eprints.ums.edu.my/id/eprint/29317

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