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Optimal control of amine plant using non-dominated sorting genetic algorithm-II / Alireza Behroozsarand in Journal of natural gas science and engineering, Vol. 2 N° 6 (Décembre 2010) 

Public ISBD [article]  in Journal of natural gas science and engineering > Vol. 2 N° 6 (Décembre 2010) . - pp. 284–292 Titre : Optimal control of amine plant using non-dominated sorting genetic algorithm-II Type de document : texte imprimé Auteurs : Alireza Behroozsarand, Auteur ; Sirous Shafiei, Auteur Année de publication : 2012 Article en page(s) : pp. 284–292 Note générale : Génie Chimique Langues : Anglais (eng) Mots-clés : Amine  plant  NSGA-II  PID  controller  Tuning  Pareto  optimal Résumé : Many control problems involve simultaneous optimization of multiple variables that competing with each other (such as Integral of Absolute Error (IAE), Overshoot, Undershoot, Response time, and etc). On the other hand, 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. An optimal control of Amine Plant is studied in this paper utilizing the multiobjective genetic algorithm concept in conjunction of Proportional–Integral–Derivative (PID) controller. This paper presents the tuning of PID controllers by minimizing two objective functions (Overshoot and IAE) through the Non-Dominated Sorting Genetic Algorithm-II (NSGA-II). Numerical results show that NSGA-II based tuning method has excellent ability in optimal control of Amine Plant. ISSN : 1875-5100 En ligne : http://www.sciencedirect.com/science/article/pii/S1875510010000910 [article] Optimal control of amine plant using non-dominated sorting genetic algorithm-II [texte imprimé] / Alireza Behroozsarand, Auteur ; Sirous Shafiei, Auteur . - 2012 . - pp. 284–292. Génie Chimique Langues : Anglais (eng) in Journal of natural gas science and engineering > Vol. 2 N° 6 (Décembre 2010) . - pp. 284–292 Mots-clés : Amine  plant  NSGA-II  PID  controller  Tuning  Pareto  optimal Résumé : Many control problems involve simultaneous optimization of multiple variables that competing with each other (such as Integral of Absolute Error (IAE), Overshoot, Undershoot, Response time, and etc). On the other hand, 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. An optimal control of Amine Plant is studied in this paper utilizing the multiobjective genetic algorithm concept in conjunction of Proportional–Integral–Derivative (PID) controller. This paper presents the tuning of PID controllers by minimizing two objective functions (Overshoot and IAE) through the Non-Dominated Sorting Genetic Algorithm-II (NSGA-II). Numerical results show that NSGA-II based tuning method has excellent ability in optimal control of Amine Plant. ISSN : 1875-5100 En ligne : http://www.sciencedirect.com/science/article/pii/S1875510010000910