Design and implementation of an optimal fuzzy logic controller using genetic algorithm

All control systems suffer from problems related to undesirable overshoot, longer settling times and vibrations while going form one state to another state. Most of relevant techniques had been in the form of suggesting modification and improvement in the instrumentation or interfacing part of the c...

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Main Authors:	Khan, Sheroz, Abdulazeez, Salami Femi, Adetunji, Lawal Wahab, Alam, A. H. M. Zahirul, Salami, Momoh Jimoh Emiyoka, Hameed, Shihab A., Hassan Abdalla Hashim, Aisha, Islam, Mohd Rafiqul
Format:	Article
Language:	English
Published:	Science Publications 2008
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/2812/ http://irep.iium.edu.my/2812/ http://irep.iium.edu.my/2812/1/design_and_implementation_of_an_2008.pdf

id	iium-2812
recordtype	eprints
spelling	iium-28122017-06-13T07:22:10Z http://irep.iium.edu.my/2812/ Design and implementation of an optimal fuzzy logic controller using genetic algorithm Khan, Sheroz Abdulazeez, Salami Femi Adetunji, Lawal Wahab Alam, A. H. M. Zahirul Salami, Momoh Jimoh Emiyoka Hameed, Shihab A. Hassan Abdalla Hashim, Aisha Islam, Mohd Rafiqul TK Electrical engineering. Electronics Nuclear engineering All control systems suffer from problems related to undesirable overshoot, longer settling times and vibrations while going form one state to another state. Most of relevant techniques had been in the form of suggesting modification and improvement in the instrumentation or interfacing part of the control system and the results reported, remain suffering from shortcomings related to hardware parameter dependence and maintenance and operational complexities. Present study was based on a software approach which was focusing on an algorithmic approach for programming a PIC16F877A microcontroller, for eliminating altogether the parametric dependence issues while adding the benefits of easier modification to suit a given control system to changing operational conditions. Said approach was first simulated using MATLAB/SIMULINK using the techniques of Proportional Derivative Fuzzy Logic Controller (PD-FLC) whose membership function, fuzzy logic rules and scaling gains were optimized by the genetic algorithm technique. Simulated results were verified by programming the PIC16F877A microcontroller with the algorithm and using it on a temperature control system where a fan was regulated in response to variations in the ambient system temperature. Resulting tabulated performance indices showed a considerable improvement in rising and settling time besides reducing overshoot and steady state error. Science Publications 2008 Article PeerReviewed application/pdf en http://irep.iium.edu.my/2812/1/design_and_implementation_of_an_2008.pdf Khan, Sheroz and Abdulazeez, Salami Femi and Adetunji, Lawal Wahab and Alam, A. H. M. Zahirul and Salami, Momoh Jimoh Emiyoka and Hameed, Shihab A. and Hassan Abdalla Hashim, Aisha and Islam, Mohd Rafiqul (2008) Design and implementation of an optimal fuzzy logic controller using genetic algorithm. Journal of Computer Science, 4 (10). pp. 799-806. ISSN 1549-3636 http://thescipub.com/abstract/10.3844/jcssp.2008.799.806
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Khan, Sheroz Abdulazeez, Salami Femi Adetunji, Lawal Wahab Alam, A. H. M. Zahirul Salami, Momoh Jimoh Emiyoka Hameed, Shihab A. Hassan Abdalla Hashim, Aisha Islam, Mohd Rafiqul Design and implementation of an optimal fuzzy logic controller using genetic algorithm
description	All control systems suffer from problems related to undesirable overshoot, longer settling times and vibrations while going form one state to another state. Most of relevant techniques had been in the form of suggesting modification and improvement in the instrumentation or interfacing part of the control system and the results reported, remain suffering from shortcomings related to hardware parameter dependence and maintenance and operational complexities. Present study was based on a software approach which was focusing on an algorithmic approach for programming a PIC16F877A microcontroller, for eliminating altogether the parametric dependence issues while adding the benefits of easier modification to suit a given control system to changing operational conditions. Said approach was first simulated using MATLAB/SIMULINK using the techniques of Proportional Derivative Fuzzy Logic Controller (PD-FLC) whose membership function, fuzzy logic rules and scaling gains were optimized by the genetic algorithm technique. Simulated results were verified by programming the PIC16F877A microcontroller with the algorithm and using it on a temperature control system where a fan was regulated in response to variations in the ambient system temperature. Resulting tabulated performance indices showed a considerable improvement in rising and settling time besides reducing overshoot and steady state error.
format	Article
author	Khan, Sheroz Abdulazeez, Salami Femi Adetunji, Lawal Wahab Alam, A. H. M. Zahirul Salami, Momoh Jimoh Emiyoka Hameed, Shihab A. Hassan Abdalla Hashim, Aisha Islam, Mohd Rafiqul
author_facet	Khan, Sheroz Abdulazeez, Salami Femi Adetunji, Lawal Wahab Alam, A. H. M. Zahirul Salami, Momoh Jimoh Emiyoka Hameed, Shihab A. Hassan Abdalla Hashim, Aisha Islam, Mohd Rafiqul
author_sort	Khan, Sheroz
title	Design and implementation of an optimal fuzzy logic controller using genetic algorithm
title_short	Design and implementation of an optimal fuzzy logic controller using genetic algorithm
title_full	Design and implementation of an optimal fuzzy logic controller using genetic algorithm
title_fullStr	Design and implementation of an optimal fuzzy logic controller using genetic algorithm
title_full_unstemmed	Design and implementation of an optimal fuzzy logic controller using genetic algorithm
title_sort	design and implementation of an optimal fuzzy logic controller using genetic algorithm
publisher	Science Publications
publishDate	2008
url	http://irep.iium.edu.my/2812/ http://irep.iium.edu.my/2812/ http://irep.iium.edu.my/2812/1/design_and_implementation_of_an_2008.pdf
first_indexed	2023-09-18T20:10:28Z
last_indexed	2023-09-18T20:10:28Z
_version_	1777407442945048576

Design and implementation of an optimal fuzzy logic controller using genetic algorithm

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