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...

Full description

Saved in:
Bibliographic Details
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:
Online Access:http://irep.iium.edu.my/17219/1/published.pdf
http://irep.iium.edu.my/17219/
http://www.world-food.net
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.iium.irep.17219
record_format dspace
spelling my.iium.irep.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 REM 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/17219/1/published.pdf
http://irep.iium.edu.my/17219/
http://www.world-food.net
_version_ 1643607242508861440
score 13.160551