Tan, Min Keng and Chuo, Helen Sin Ee and Tham , Heng Jin and Farm, Yan Yan and Teo, Kenneth Tze Kin (2012) Genetic algorithm based multivariable control for exothermic batch process. In: 2012 4th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2012, 24-26 July 2012, Phuket, Thailand.
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Official URL: http://dx.doi.org/10.1109/CICSyN.2012.17
Exothermic process is highly nonlinear and complex process. Large amount of heat will be released during the chemical reaction. As a result of the exothermic behaviour, the reaction may become unstable and consequently poses safety concern to the plant if the reactor temperature exceeds the cooling capacity. In the industrial point of view, heating is needed in order to speed up the reaction rate so that it can reduce the overall process reaction time. Hence, this paper proposes genetic algorithm (GA) to control the reaction temperature as well as to balance the production needs with the safety specification. GA exploits probabilistic search method to optimise the specific objective function based on evolutionary principle. Simulation assessment of the GA has been carried out using a benchmark exothermic batch process model. The results show that GA is a good candidate in controlling the reactor temperature.
|Item Type:||Conference Paper (UNSPECIFIED)|
|Uncontrolled Keywords:||Exothermic batch process, Genetic algorithm, Multivariable control|
|Subjects:||Q Science > QA Mathematics|
|Divisions:||SCHOOL > School of Engineering and Information Technology|
|Deposited By:||IR Admin|
|Deposited On:||01 Nov 2012 15:15|
|Last Modified:||08 Sep 2014 12:48|
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