Intelligent control of grain drying process using fuzzy logic controller

Controlling grain drying process is always a challenging task for engineers and researchers in food and agricultural sectors since many years ago. 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 param...

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Main Authors:	Mansor, Hasmah, Mohd Noor, Samsul Bahari, Raja Ahmad, Raja Kamil, Taip, Farah Saleena, Lutfy, Omar Farouq
Format:	Article
Language:	English
Published:	WFL Publisher 2010
Subjects:	S Agriculture (General) TA165 Engineering instruments, meters, etc. Industrial instrumentation
Online Access:	http://irep.iium.edu.my/17219/ http://irep.iium.edu.my/17219/ http://irep.iium.edu.my/17219/1/published.pdf

id	iium-17219
recordtype	eprints
spelling	iium-172192012-01-30T04:57:52Z http://irep.iium.edu.my/17219/ Intelligent control of grain drying process using fuzzy logic controller Mansor, Hasmah Mohd Noor, Samsul Bahari Raja Ahmad, Raja Kamil Taip, Farah Saleena Lutfy, Omar Farouq S Agriculture (General) TA165 Engineering instruments, meters, etc. Industrial instrumentation Controlling grain drying process is always a challenging task for engineers and researchers in food and agricultural sectors since many years ago. 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 2010-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/17219/1/published.pdf Mansor, Hasmah and Mohd Noor, Samsul Bahari and Raja Ahmad, Raja Kamil and Taip, Farah Saleena and Lutfy, Omar Farouq (2010) Intelligent control of grain drying process using fuzzy logic controller. Journal of Food, Agriculture & Environment, 8 (2). pp. 145-149. ISSN 1459-0263 (O), 1459-0263 (P) http://www.world-food.net
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	S Agriculture (General) TA165 Engineering instruments, meters, etc. Industrial instrumentation
spellingShingle	S Agriculture (General) TA165 Engineering instruments, meters, etc. Industrial instrumentation Mansor, Hasmah Mohd Noor, Samsul Bahari Raja Ahmad, Raja Kamil Taip, Farah Saleena Lutfy, Omar Farouq Intelligent control of grain drying process using fuzzy logic controller
description	Controlling grain drying process is always a challenging task for engineers and researchers in food and agricultural sectors since many years ago. 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.
format	Article
author	Mansor, Hasmah Mohd Noor, Samsul Bahari Raja Ahmad, Raja Kamil Taip, Farah Saleena Lutfy, Omar Farouq
author_facet	Mansor, Hasmah Mohd Noor, Samsul Bahari Raja Ahmad, Raja Kamil Taip, Farah Saleena Lutfy, Omar Farouq
author_sort	Mansor, Hasmah
title	Intelligent control of grain drying process using fuzzy logic controller
title_short	Intelligent control of grain drying process using fuzzy logic controller
title_full	Intelligent control of grain drying process using fuzzy logic controller
title_fullStr	Intelligent control of grain drying process using fuzzy logic controller
title_full_unstemmed	Intelligent control of grain drying process using fuzzy logic controller
title_sort	intelligent control of grain drying process using fuzzy logic controller
publisher	WFL Publisher
publishDate	2010
url	http://irep.iium.edu.my/17219/ http://irep.iium.edu.my/17219/ http://irep.iium.edu.my/17219/1/published.pdf
first_indexed	2023-09-18T20:26:01Z
last_indexed	2023-09-18T20:26:01Z
_version_	1777408422078054400

Intelligent control of grain drying process using fuzzy logic controller

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