Froth-based modeling and control of a batch flotation process
Automatic control of the flotation process is a difficult task due to the large number of variables involved, significant disturbances, and the process's complex nature. Previous research has established that flotation performance is reflected in the structure of the froth's surface. This...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/17072/ http://psasir.upm.edu.my/id/eprint/17072/1/Froth-based%20modeling%20and%20control%20of%20a%20batch%20flotation%20process.pdf |
| _version_ | 1848843139622633472 |
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| author | Jahedsaravani, Ali Marhaban, Mohammad Hamiruce Massinaei, Mohammad Saripan, M. Iqbal Mohd Noor, Samsul Bahari |
| author_facet | Jahedsaravani, Ali Marhaban, Mohammad Hamiruce Massinaei, Mohammad Saripan, M. Iqbal Mohd Noor, Samsul Bahari |
| author_sort | Jahedsaravani, Ali |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Automatic control of the flotation process is a difficult task due to the large number of variables involved, significant disturbances, and the process's complex nature. Previous research has established that flotation performance is reflected in the structure of the froth's surface. This paper describes the application of machine vision and fuzzy logic in controlling a batch-flotation cell. To perform this process, a laboratory flotation cell was operated under different conditions while process and image data were simultaneously recorded. Then, correlations between the resultant froth features and process variables were modeled, and an interpretable froth model was created. A fuzzy controller was designed and implemented to control process performance through the extracted froth features at the desired level by manipulating the selected process variables. The results indicate that the developed control system is able to handle process disturbances and track reference signals. |
| first_indexed | 2025-11-15T08:10:17Z |
| format | Article |
| id | upm-17072 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T08:10:17Z |
| publishDate | 2016 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-170722016-06-08T04:13:29Z http://psasir.upm.edu.my/id/eprint/17072/ Froth-based modeling and control of a batch flotation process Jahedsaravani, Ali Marhaban, Mohammad Hamiruce Massinaei, Mohammad Saripan, M. Iqbal Mohd Noor, Samsul Bahari Automatic control of the flotation process is a difficult task due to the large number of variables involved, significant disturbances, and the process's complex nature. Previous research has established that flotation performance is reflected in the structure of the froth's surface. This paper describes the application of machine vision and fuzzy logic in controlling a batch-flotation cell. To perform this process, a laboratory flotation cell was operated under different conditions while process and image data were simultaneously recorded. Then, correlations between the resultant froth features and process variables were modeled, and an interpretable froth model was created. A fuzzy controller was designed and implemented to control process performance through the extracted froth features at the desired level by manipulating the selected process variables. The results indicate that the developed control system is able to handle process disturbances and track reference signals. Elsevier 2016 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/17072/1/Froth-based%20modeling%20and%20control%20of%20a%20batch%20flotation%20process.pdf Jahedsaravani, Ali and Marhaban, Mohammad Hamiruce and Massinaei, Mohammad and Saripan, M. Iqbal and Mohd Noor, Samsul Bahari (2016) Froth-based modeling and control of a batch flotation process. International Journal of Mineral Processing, 146. pp. 90-96. ISSN 0301-7516 http://www.sciencedirect.com/science/article/pii/S0301751615300557 10.1016/j.minpro.2015.12.002 |
| spellingShingle | Jahedsaravani, Ali Marhaban, Mohammad Hamiruce Massinaei, Mohammad Saripan, M. Iqbal Mohd Noor, Samsul Bahari Froth-based modeling and control of a batch flotation process |
| title | Froth-based modeling and control of a batch flotation process |
| title_full | Froth-based modeling and control of a batch flotation process |
| title_fullStr | Froth-based modeling and control of a batch flotation process |
| title_full_unstemmed | Froth-based modeling and control of a batch flotation process |
| title_short | Froth-based modeling and control of a batch flotation process |
| title_sort | froth-based modeling and control of a batch flotation process |
| url | http://psasir.upm.edu.my/id/eprint/17072/ http://psasir.upm.edu.my/id/eprint/17072/ http://psasir.upm.edu.my/id/eprint/17072/ http://psasir.upm.edu.my/id/eprint/17072/1/Froth-based%20modeling%20and%20control%20of%20a%20batch%20flotation%20process.pdf |