Intelligent control of grain drying process using fuzzy logic controller.
Controlling grain drying process has always been a challenging task for engineers and researchers in food and agricultural sectors. The main obstacles to obtain the best control system for the grain drying system are due to the long delay process, highly non-linear behaviour and parameter uncertaint...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
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WFL publisher
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/10920/ http://psasir.upm.edu.my/id/eprint/10920/1/Intelligent%20control%20of%20grain%20drying%20process%20using%20fuzzy%20logic%20controller.pdf |
| _version_ | 1848841524983365632 |
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| author | Mansor, Halimathon Mohd Noor, Samsul Bahari Raja Ahmad, Raja Mohd Kamil Taip, Farah Saleena Lutfy, Omar F. |
| author_facet | Mansor, Halimathon Mohd Noor, Samsul Bahari Raja Ahmad, Raja Mohd Kamil Taip, Farah Saleena Lutfy, Omar F. |
| author_sort | Mansor, Halimathon |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Controlling grain drying process has always been a challenging task for engineers and researchers in food and agricultural sectors. The main obstacles to obtain the best control system for the grain drying system are due to the long delay process, highly non-linear behaviour and parameter uncertainties exist in the plant. Applying an intelligent controller such as fuzzy logic controller to a grain drying system is a good choice as fuzzy logic controller is a very powerful control methodology that can estimate functions based on partial knowledge of the system in case of parameter uncertainties and can deal with non-linear behaviour. This paper focused on the design and application of fuzzy logic controller in order to obtain the grain output moisture content close to the set-point in spite of disturbances. Two inputs and one output fuzzy logic controller has been designed to drive the grain flow rate which is used as the manipulated variable. A new algorithm of fuzzy logic controller for a grain drying process has been introduced. Simulation tests have been carried out using the process model developed by Liu and Bakker-Arkema for a cross-flow grain dryer. The overall results from the tests are very promising and the fuzzy logic controller is stable and robust towards input disturbance. Although the design process of fuzzy logic controller is simple; however it provides very fast response to make the grain output moisture content close to the set-point and to reject disturbance exists during the grain drying process. |
| first_indexed | 2025-11-15T07:44:37Z |
| format | Article |
| id | upm-10920 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T07:44:37Z |
| publishDate | 2010 |
| publisher | WFL publisher |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-109202015-10-21T03:56:02Z http://psasir.upm.edu.my/id/eprint/10920/ Intelligent control of grain drying process using fuzzy logic controller. Mansor, Halimathon Mohd Noor, Samsul Bahari Raja Ahmad, Raja Mohd Kamil Taip, Farah Saleena Lutfy, Omar F. Controlling grain drying process has always been a challenging task for engineers and researchers in food and agricultural sectors. The main obstacles to obtain the best control system for the grain drying system are due to the long delay process, highly non-linear behaviour and parameter uncertainties exist in the plant. Applying an intelligent controller such as fuzzy logic controller to a grain drying system is a good choice as fuzzy logic controller is a very powerful control methodology that can estimate functions based on partial knowledge of the system in case of parameter uncertainties and can deal with non-linear behaviour. This paper focused on the design and application of fuzzy logic controller in order to obtain the grain output moisture content close to the set-point in spite of disturbances. Two inputs and one output fuzzy logic controller has been designed to drive the grain flow rate which is used as the manipulated variable. A new algorithm of fuzzy logic controller for a grain drying process has been introduced. Simulation tests have been carried out using the process model developed by Liu and Bakker-Arkema for a cross-flow grain dryer. The overall results from the tests are very promising and the fuzzy logic controller is stable and robust towards input disturbance. Although the design process of fuzzy logic controller is simple; however it provides very fast response to make the grain output moisture content close to the set-point and to reject disturbance exists during the grain drying process. WFL publisher 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/10920/1/Intelligent%20control%20of%20grain%20drying%20process%20using%20fuzzy%20logic%20controller.pdf Mansor, Halimathon and Mohd Noor, Samsul Bahari and Raja Ahmad, Raja Mohd Kamil and Taip, Farah Saleena and Lutfy, Omar F. (2010) Intelligent control of grain drying process using fuzzy logic controller. International Journal of Food, Agriculture and Environment, 8 (1). pp. 145-149. ISSN 1459-0255 English |
| spellingShingle | Mansor, Halimathon Mohd Noor, Samsul Bahari Raja Ahmad, Raja Mohd Kamil Taip, Farah Saleena Lutfy, Omar F. Intelligent control of grain drying process using fuzzy logic controller. |
| title | Intelligent control of grain drying process using fuzzy logic controller.
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| title_full | Intelligent control of grain drying process using fuzzy logic controller.
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| title_fullStr | Intelligent control of grain drying process using fuzzy logic controller.
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| title_full_unstemmed | Intelligent control of grain drying process using fuzzy logic controller.
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| title_short | Intelligent control of grain drying process using fuzzy logic controller.
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| title_sort | intelligent control of grain drying process using fuzzy logic controller. |
| url | http://psasir.upm.edu.my/id/eprint/10920/ http://psasir.upm.edu.my/id/eprint/10920/1/Intelligent%20control%20of%20grain%20drying%20process%20using%20fuzzy%20logic%20controller.pdf |