Tan, M. K. and Chin, Y. K. and Tham, Heng Jin and Teo, Kenneth Tze Kin (2011) Evolutionary optimization scheme for Exothermic Process Control System. In: Proceedings of the 3rd (2011) CUTSE International Conference, 8-9 November, 2011, Miri, Sarawak, Malaysia.
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Abstract
The primary aim in batch process is to enhance the process operation in order to achieve high quality and purity product while minimizing the production of undesired by-product. During the process, a large amount of heat is released rapidly when the reactants are mixed together due to exothermic behavior. This causes the reaction to become unstable and consequently the quality and purity of the final product will be affected. Therefore, it is important to have a control scheme which is able to balance the needs of process safety with the product quality and purity. This paper proposes genetic algorithm (GA) as an approach to control the process temperature by changing the coolant temperature because GA does not require the exact process dynamics in advance, which normally in practical, the process dynamics are poorly known in practical. GA is able to evolve itself to obtain an optimum solution to change the coolant temperature. The simulation studies show that the GA will be a good candidate to optimize the process and minimize the temperature overshoot throughout the reaction process. Furthermore, GA is able to evolve itself to obtain an optimum solution to change the coolant temperature.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Keyword: | Dynamic optimization, Exothermic process, Temperature control, Genetic algorithm |
Subjects: | T Technology > TJ Mechanical engineering and machinery Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines |
Department: | SCHOOL > School of Engineering and Information Technology |
Depositing User: | ADMIN ADMIN |
Date Deposited: | 12 Jul 2012 12:11 |
Last Modified: | 09 Nov 2017 15:36 |
URI: | https://eprints.ums.edu.my/id/eprint/4538 |
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