Control of TAME reactive distillation using Non-Dominated Sorting Genetic Algorithm-II |
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Authors: | Alireza Behroozsarand Sirous Shafiei |
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Institution: | a Department of Chemical Engineering, Islamic Azad University, Ilkhchi Branch, Tabriz-Ilkhchi, Iran b Department of Chemical Engineering, Sahand University of Technology, Tabriz 651335-1996, Iran |
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Abstract: | The control system performs poor in characteristics and even it becomes unstable, if improper values of the controller tuning constants are used. So it becomes necessary to tune the controller parameters to achieve good control performance with the proper choice of tuning constants. Many control problems involve simultaneous optimization of multiple variables that competing with each other. In this paper, the Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) has been successfully applied to optimization of dynamic state of t-amyl-methyl-ether (TAME) reactive distillation process. This paper presents the tuning of Proportional-Integral-Derivative (PID) controllers by minimizing of two objective functions (overshoot and Integral of Absolute Error (IAE)) through the NSGA-II. Results show that genetic algorithm is more suitable method for optimal control of the TAME reactive distillation columns than traditional methods such as Tyreus-Luyben. |
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Keywords: | TAME Pareto optimal NSGA-II PID controller Tuning IAE |
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