汽油加氢过程轻石脑油精馏塔模型预测控制

Q3 Engineering Engineering and Applied Science Research Pub Date : 2015-03-01 DOI:10.14456/KKUENJ.2015.1

Kornkrit Chiewchanchairat, P. Bumroongsri, S. Kheawhom

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引用次数: 1

摘要

本研究的主要内容是对汽油加氢过程中轻石脑油精馏塔的模型预测控制进行设计与实现。该模型采用鲁棒多变量预测控制技术(RMPCT)设计。MPC控制器的性能优于PID控制器的32.1%，与目标函数相同，并且MPC控制器可以用于蒸汽优化，在本研究中显示，流消耗减少6.6 Kg/ m3的新鲜饲料。

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Model predictive control in light naphtha distillation column of gasoline hydrogenation process

The main scope of this research is for designing and implementing of model predictive control (MPC) on the light naphtha distillation column of gasoline hydrogenation process. This model is designed by using robust multivariable predictive control technology (RMPCT). The performance of MPC controller is better than PID controllers 32.1 % those are comparing by using as the same of objective function and also in the MPC controller can be used for steam optimization that is shown in this research, stream consumption is reduced 6.6 Kg/ m3 of fresh feed.

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来源期刊

Engineering and Applied Science Research Engineering-Engineering (all)

CiteScore

2.10

自引率

0.00%

发文量

审稿时长

11 weeks

期刊介绍： Publication of the journal started in 1974. Its original name was “KKU Engineering Journal”. English and Thai manuscripts were accepted. The journal was originally aimed at publishing research that was conducted and implemented in the northeast of Thailand. It is regarded a national journal and has been indexed in the Thai-journal Citation Index (TCI) database since 2004. The journal now accepts only English language manuscripts and became open-access in 2015 to attract more international readers. It was renamed Engineering and Applied Science Research in 2017. The editorial team agreed to publish more international papers, therefore, the new journal title is more appropriate. The journal focuses on research in the field of engineering that not only presents highly original ideas and advanced technology, but also are practical applications of appropriate technology.