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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World Academy of Science, Engineering and Technology (W A S E T)
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iium-263022013-07-24T05:23:53Z http://irep.iium.edu.my/26302/ Rule-based fuzzy logic controller with adaptable reference Khan, Sheroz Adam, I 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, I 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 |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering Khan, Sheroz Adam, I Alam, A. H. M. Zahirul Islam, Md. Rafiqul Khalifa, Othman Omran Rule-based fuzzy logic controller with adaptable reference |
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. |
format |
Article |
author |
Khan, Sheroz Adam, I Alam, A. H. M. Zahirul Islam, Md. Rafiqul Khalifa, Othman Omran |
author_facet |
Khan, Sheroz Adam, I Alam, A. H. M. Zahirul Islam, Md. Rafiqul Khalifa, Othman Omran |
author_sort |
Khan, Sheroz |
title |
Rule-based fuzzy logic controller with adaptable reference |
title_short |
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_sort |
rule-based fuzzy logic controller with adaptable reference |
publisher |
World Academy of Science, Engineering and Technology (W A S E T) |
publishDate |
2008 |
url |
http://irep.iium.edu.my/26302/ http://irep.iium.edu.my/26302/ http://irep.iium.edu.my/26302/1/v3-5-42.pdf |
first_indexed |
2023-09-18T20:39:12Z |
last_indexed |
2023-09-18T20:39:12Z |
_version_ |
1777409251166126080 |