書誌事項
- タイトル別名
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- Inferential Control of Distillation Composition Using Partial Least Squares Regression.
- Partial Least Squares Regression オ モチイタ
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抄録
In order to control product compositions in a multicomponent distillation column, the composition estimated from measured tray temperatures is used. In this paper, inferential models of product compositions are constructed using Partial Least Squares regression, on the basis of steady-state and time series temperature measurements. The accuracy of the estimation is greatly improved by using a dynamic model. It is also found that the use of past temperature measurements is effective for improv-ing the performance of the inferential model. From the detailed dynamic simulation results, it is found that the cascade control system using the proposed inferential model works very well.
収録刊行物
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- 化学工学論文集
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化学工学論文集 24 (3), 425-430, 1998
公益社団法人 化学工学会
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詳細情報 詳細情報について
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- CRID
- 1390001204508246912
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- NII論文ID
- 10002910148
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- NII書誌ID
- AN00037234
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- ISSN
- 13499203
- 0386216X
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- NDL書誌ID
- 4492452
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可