PCA-based Method of Identification of Dominant Variables for Partial Control
Since the early use of automatic control, the Partial Control strategy has frequently been adopted in complex chemical processes having more process variables than manipulated variables. The key idea of Partial Control is to find the dominant variables which can be controlled to constant setpoints a...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Engineers Australia
2009
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/46871 |
| _version_ | 1848757680174268416 |
|---|---|
| author | Nandong, Jobrun Samyudia, Yudi Tade, Moses |
| author2 | Thys Heyns |
| author_facet | Thys Heyns Nandong, Jobrun Samyudia, Yudi Tade, Moses |
| author_sort | Nandong, Jobrun |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Since the early use of automatic control, the Partial Control strategy has frequently been adopted in complex chemical processes having more process variables than manipulated variables. The key idea of Partial Control is to find the dominant variables which can be controlled to constant setpoints and in turn leads to acceptable variations in the operating objectives in the face of external disturbances occurrence. Although the idea seems simple to understand, the identification of the dominant variables can be a daunting task where presently this is largely done based on extensive process knowledge and experience. In this paper, we present a novel methodology to identify the dominant variables based on Principal Component Analysis. The method can greatly facilitate the implementation of Partial Control strategy because it does not require extensive process experience and knowledge. The effectiveness of the methodology is demonstrated based on its application to a complex extractive fermentation process. |
| first_indexed | 2025-11-14T09:31:56Z |
| format | Conference Paper |
| id | curtin-20.500.11937-46871 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:31:56Z |
| publishDate | 2009 |
| publisher | Engineers Australia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-468712017-10-02T02:27:09Z PCA-based Method of Identification of Dominant Variables for Partial Control Nandong, Jobrun Samyudia, Yudi Tade, Moses Thys Heyns Partial Control Plantwide Control Extractive Fermentation PCA Since the early use of automatic control, the Partial Control strategy has frequently been adopted in complex chemical processes having more process variables than manipulated variables. The key idea of Partial Control is to find the dominant variables which can be controlled to constant setpoints and in turn leads to acceptable variations in the operating objectives in the face of external disturbances occurrence. Although the idea seems simple to understand, the identification of the dominant variables can be a daunting task where presently this is largely done based on extensive process knowledge and experience. In this paper, we present a novel methodology to identify the dominant variables based on Principal Component Analysis. The method can greatly facilitate the implementation of Partial Control strategy because it does not require extensive process experience and knowledge. The effectiveness of the methodology is demonstrated based on its application to a complex extractive fermentation process. 2009 Conference Paper http://hdl.handle.net/20.500.11937/46871 Engineers Australia fulltext |
| spellingShingle | Partial Control Plantwide Control Extractive Fermentation PCA Nandong, Jobrun Samyudia, Yudi Tade, Moses PCA-based Method of Identification of Dominant Variables for Partial Control |
| title | PCA-based Method of Identification of Dominant Variables for Partial Control |
| title_full | PCA-based Method of Identification of Dominant Variables for Partial Control |
| title_fullStr | PCA-based Method of Identification of Dominant Variables for Partial Control |
| title_full_unstemmed | PCA-based Method of Identification of Dominant Variables for Partial Control |
| title_short | PCA-based Method of Identification of Dominant Variables for Partial Control |
| title_sort | pca-based method of identification of dominant variables for partial control |
| topic | Partial Control Plantwide Control Extractive Fermentation PCA |
| url | http://hdl.handle.net/20.500.11937/46871 |