Development of a New Feed-Forward Control Method Based on Soft Sensors and Inverse Analysis
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- Kimura Ippei
- The University of Tokyo
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- Kaneko Hiromasa
- The University of Tokyo
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- Funatsu Kimito
- The University of Tokyo
Bibliographic Information
- Other Title
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- ソフトセンサーとその逆解析を利用した新規フィードフォワード制御手法の開発
- ソフトセンサー ト ソノ ギャクカイセキ オ リヨウ シタ シンキ フィードフォワード セイギョ シュホウ ノ カイハツ
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Abstract
PID controllers and model-predictive controllers are widely used for process control. However, optimization of control parameters is complicated and many processes are operated inefficiently. In order to perform more effective control, we propose a new process control method using soft sensor models. We refer to this method as inverse soft sensor-based feed-forward (ISFF) control. Soft sensor models are constructed between a controlled variable (y) as an objective variable, and manipulated variables (U) and other process variables (X) as explanatory variables. The optimal control strategy of U which optimizes the objective function including y is determined with inverse analysis on the soft sensor models while considering X variables. The proposed method was applied to the change of a set point of a simulated CSTR system, and the validity of ISFF was confirmed.
Journal
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- KAGAKU KOGAKU RONBUNSHU
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KAGAKU KOGAKU RONBUNSHU 41 (1), 29-37, 2015
The Society of Chemical Engineers, Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390282679489854848
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- NII Article ID
- 130004855801
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- NII Book ID
- AN00037234
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- ISSN
- 13499203
- 0386216X
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- NDL BIB ID
- 026308365
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed