Rule-based fuzzy logic controller with adaptable reference

This paper attempts to model and design a simple fuzzy logic controller with Variable Reference. The Variable Reference (VR) is featured as an adaptability element which is obtained from two known variables – desired system-input and actual system-output. A simple fuzzy rule-based technique is sim...

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Main Authors: Khan, Sheroz, Adam, Ismail, Alam, A. H. M. Zahirul, Islam, Md. Rafiqul, Khalifa, Othman Omran
Format: Article
Language:English
Published: World Academy of Science, Engineering and Technology (W A S E T) 2008
Subjects:
Online Access:http://irep.iium.edu.my/26302/
http://irep.iium.edu.my/26302/1/v3-5-42.pdf
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author Khan, Sheroz
Adam, Ismail
Alam, A. H. M. Zahirul
Islam, Md. Rafiqul
Khalifa, Othman Omran
author_facet Khan, Sheroz
Adam, Ismail
Alam, A. H. M. Zahirul
Islam, Md. Rafiqul
Khalifa, Othman Omran
author_sort Khan, Sheroz
building IIUM Repository
collection Online Access
description This paper attempts to model and design a simple fuzzy logic controller with Variable Reference. The Variable Reference (VR) is featured as an adaptability element which is obtained from two known variables – desired system-input and actual system-output. A simple fuzzy rule-based technique is simulated to show how the actual system-input is gradually tuned in to a value that closely matches the desired input. The designed controller is implemented and verified on a simple heater which is controlled by PIC Microcontroller harnessed by a code developed in embedded C. The output response of the PIC-controlled heater is analyzed and compared to the performances by conventional fuzzy logic controllers. The novelty of this work lies in the fact that it gives better performance by using less number of rules compared to conventional fuzzy logic controllers.
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institution International Islamic University Malaysia
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language English
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publishDate 2008
publisher World Academy of Science, Engineering and Technology (W A S E T)
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spelling iium-263022020-11-30T01:14:00Z http://irep.iium.edu.my/26302/ Rule-based fuzzy logic controller with adaptable reference Khan, Sheroz Adam, Ismail Alam, A. H. M. Zahirul Islam, Md. Rafiqul Khalifa, Othman Omran TK Electrical engineering. Electronics Nuclear engineering This paper attempts to model and design a simple fuzzy logic controller with Variable Reference. The Variable Reference (VR) is featured as an adaptability element which is obtained from two known variables – desired system-input and actual system-output. A simple fuzzy rule-based technique is simulated to show how the actual system-input is gradually tuned in to a value that closely matches the desired input. The designed controller is implemented and verified on a simple heater which is controlled by PIC Microcontroller harnessed by a code developed in embedded C. The output response of the PIC-controlled heater is analyzed and compared to the performances by conventional fuzzy logic controllers. The novelty of this work lies in the fact that it gives better performance by using less number of rules compared to conventional fuzzy logic controllers. World Academy of Science, Engineering and Technology (W A S E T) 2008 Article PeerReviewed application/pdf en http://irep.iium.edu.my/26302/1/v3-5-42.pdf Khan, Sheroz and Adam, Ismail and Alam, A. H. M. Zahirul and Islam, Md. Rafiqul and Khalifa, Othman Omran (2008) Rule-based fuzzy logic controller with adaptable reference. International Journal of Electrical and Computer Engineering, 3 (1). pp. 7-11. ISSN 2010-3948 (P) 2010-3956 (O) http://www.waset.org
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Khan, Sheroz
Adam, Ismail
Alam, A. H. M. Zahirul
Islam, Md. Rafiqul
Khalifa, Othman Omran
Rule-based fuzzy logic controller with adaptable reference
title Rule-based fuzzy logic controller with adaptable reference
title_full Rule-based fuzzy logic controller with adaptable reference
title_fullStr Rule-based fuzzy logic controller with adaptable reference
title_full_unstemmed Rule-based fuzzy logic controller with adaptable reference
title_short Rule-based fuzzy logic controller with adaptable reference
title_sort rule-based fuzzy logic controller with adaptable reference
topic TK Electrical engineering. Electronics Nuclear engineering
url http://irep.iium.edu.my/26302/
http://irep.iium.edu.my/26302/
http://irep.iium.edu.my/26302/1/v3-5-42.pdf