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.
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 Paper (UNSPECIFIED)|
|Uncontrolled Keywords:||Dynamic optimization, Exothermic process, Temperature control, Genetic algorithm|
|Subjects:||T Technology > TJ Mechanical engineering and machinery|
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|Divisions:||SCHOOL > School of Engineering and Information Technology|
|Deposited By:||IR Admin|
|Deposited On:||12 Jul 2012 12:11|
|Last Modified:||08 Sep 2014 15:22|
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