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Distillation Column Identification Using Artificial Neural Network | ||
| Gas Processing Journal | ||
| مقاله 4، دوره 1، شماره 2، تیر 2013، صفحه 31-40 اصل مقاله (613.89 K) | ||
| شناسه دیجیتال (DOI): 10.22108/gpj.2013.20166 | ||
| نویسندگان | ||
| Majid Amidpour1؛ Gholam Reza Salehi* 2؛ Ali Ghaffari1؛ Hamed Sahraei1 | ||
| 1Mechanical Engineering Department, K. N. Toosi University of Technology, Tehran, Iran | ||
| 2Mechanical Engineering Department, Islamic Azad University, Nowshahr Branch, Iran | ||
| چکیده | ||
| Â Abstract: In this paper, Artificial Neural Network (ANN) was used for modeling the nonlinear structure of a debutanizer column in a refinery gas process plant. The actual input-output data of the system were measured in order to be used for system identification based on root mean square error (RMSE) minimization approach. It was shown that the designed recurrent neural network is able to precisely predict and track the response of the actual system. The comparison between the results of this paper and those of the most recent published studies as NARX model indicates the significance of the proposed approach. | ||
| کلیدواژهها | ||
| Debutanizer Column؛ Dynamic Neural Networks؛ System Identification؛ Modeling | ||
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آمار تعداد مشاهده مقاله: 481 تعداد دریافت فایل اصل مقاله: 1,303 |
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