Intelligent control for automation of yam storage system using fuzzy logic controller

This paper presents the development of intelligent control technique for yam storage system based on fuzzy logic controller (FLC). The expert control of yam storage system is formulated in the form of fuzzy rules. The inputs to the controller are the outside and inside temperature, wind speed and p...

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Main Authors: Abdulazeez, Murtala, Salami, Momoh Jimoh Emiyoka, Tijani, Ismaila
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
Online Access:http://irep.iium.edu.my/5309/
http://irep.iium.edu.my/5309/1/yam.pdf
id iium-5309
recordtype eprints
spelling iium-53092011-10-31T06:54:37Z http://irep.iium.edu.my/5309/ Intelligent control for automation of yam storage system using fuzzy logic controller Abdulazeez, Murtala Salami, Momoh Jimoh Emiyoka Tijani, Ismaila T Technology (General) This paper presents the development of intelligent control technique for yam storage system based on fuzzy logic controller (FLC). The expert control of yam storage system is formulated in the form of fuzzy rules. The inputs to the controller are the outside and inside temperature, wind speed and presences of rain. The output is the window opening angle. Simulations were performed for different typical levels of input parameters and also for extreme fictitious conditions. The results shown that, the controller is capable of responding to the changes in temperature conditions by adjusting the window opening angle to keep the internal temperature within acceptable range. The controller also satisfies security requirements due to sudden changes in wind velocity and presence of rain. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/5309/1/yam.pdf Abdulazeez, Murtala and Salami, Momoh Jimoh Emiyoka and Tijani, Ismaila (2011) Intelligent control for automation of yam storage system using fuzzy logic controller. In: 3rd International Conference on Computational Intelligence, Modelling and Simulation, 20-22 September 2011, Langkawi, Malaysia.
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle T Technology (General)
Abdulazeez, Murtala
Salami, Momoh Jimoh Emiyoka
Tijani, Ismaila
Intelligent control for automation of yam storage system using fuzzy logic controller
description This paper presents the development of intelligent control technique for yam storage system based on fuzzy logic controller (FLC). The expert control of yam storage system is formulated in the form of fuzzy rules. The inputs to the controller are the outside and inside temperature, wind speed and presences of rain. The output is the window opening angle. Simulations were performed for different typical levels of input parameters and also for extreme fictitious conditions. The results shown that, the controller is capable of responding to the changes in temperature conditions by adjusting the window opening angle to keep the internal temperature within acceptable range. The controller also satisfies security requirements due to sudden changes in wind velocity and presence of rain.
format Conference or Workshop Item
author Abdulazeez, Murtala
Salami, Momoh Jimoh Emiyoka
Tijani, Ismaila
author_facet Abdulazeez, Murtala
Salami, Momoh Jimoh Emiyoka
Tijani, Ismaila
author_sort Abdulazeez, Murtala
title Intelligent control for automation of yam storage system using fuzzy logic controller
title_short Intelligent control for automation of yam storage system using fuzzy logic controller
title_full Intelligent control for automation of yam storage system using fuzzy logic controller
title_fullStr Intelligent control for automation of yam storage system using fuzzy logic controller
title_full_unstemmed Intelligent control for automation of yam storage system using fuzzy logic controller
title_sort intelligent control for automation of yam storage system using fuzzy logic controller
publishDate 2011
url http://irep.iium.edu.my/5309/
http://irep.iium.edu.my/5309/1/yam.pdf
first_indexed 2023-09-18T20:13:50Z
last_indexed 2023-09-18T20:13:50Z
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