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Intelligent control of grain drying process using fuzzy logic controller

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)

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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.

Item Type: Article (Journal)
Additional Information: 4158/17219
Uncontrolled Keywords: Grain drying, fuzzy logic controller, intelligent control, non-linear, uncertainty, agriculture
Subjects: S Agriculture > S Agriculture (General)
T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters, etc. Industrial instrumentation
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Dr Hasmah Mansor
Date Deposited: 30 Jan 2012 12:57
Last Modified: 30 Jan 2012 12:57
URI: http://irep.iium.edu.my/id/eprint/17219

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