Optimal control of amine plant using non-dominated sorting genetic algorithm-II

被引：6

作者：

Behroozsarand, Alireza ^{[1
]}

Shafiei, Sirous ^{[1
]}

机构：

[1] Sahand Univ Technol, Dept Chem Engn, Tabriz 6513351996, Iran

来源：

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING | 2010年 / 2卷 / 06期

关键词：

Amine plant; NSGA-II; PID controller; Tuning; Pareto optimal; MULTIOBJECTIVE OPTIMIZATION; CO2; CAPTURE; POWER-PLANT; RECOVERS CO2; DESIGN; TECHNOLOGY; SIMULATION;

D O I：

10.1016/j.jngse.2010.11.001

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：284 / 292

页数：9

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