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

Most control systems suITer from problems related to undesirable overshoot, longer settling times aoo vibrations while going from one state 10 an(){her state. Works so far reponed techniques which are on how to oveTCQme or reduce the effects of these issues for ensuring smoother and finely tuned eo...

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Main Authors: Abdulazeez, Salami Femi, Adetunji, Lawal Wahab, Khan, Sheroz, Alam, A. H. M. Zahirul, Salami, Momoh Jimoh Emiyoka, Hameed, Shihab A., Hassan Abdalla Hashim, Aisha, Islam, Md. Rafiqul
Format: Book Chapter
Language:English
Published: IIUM Press 2011
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Online Access:http://irep.iium.edu.my/21701/1/DESIGN_AND_IMPLEMENTATION_OF_AN_OPTIMAL_FUZZY_LOGIC_CONTROLLER_USING_EGENTIC_ALGORITHM.pdf
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
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spelling my.iium.irep.217012020-06-29T06:59:31Z http://irep.iium.edu.my/21701/ Design and implementation of an optimal fuzzy logic controller using egentic algorithm Abdulazeez, Salami Femi Adetunji, Lawal Wahab Khan, Sheroz Alam, A. H. M. Zahirul Salami, Momoh Jimoh Emiyoka Hameed, Shihab A. Hassan Abdalla Hashim, Aisha Islam, Md. Rafiqul TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Most control systems suITer from problems related to undesirable overshoot, longer settling times aoo vibrations while going from one state 10 an(){her state. Works so far reponed techniques which are on how to oveTCQme or reduce the effects of these issues for ensuring smoother and finely tuned eolltrolling proceM. The devised solution is softwllrebased which employs an algorithmic approach for programming II PICI6F877A microcontroller, thus eliminating allogether the parametric dependence issues while adding the benefits of easier modification to suit a given control system for varying operational conditions_ The approach is first simulated using MATLAB/and the simulated results are verified by programming {he PICI6I'g77A mierocontrolter with {he algorithm and using it on a temperature control system where a fan is regulated in response to variations in the ambient system temperature. The results justify the effectiveness of the approach implemented in this study and they lUnher prove toot the optimized Fuzzy Logic Controller is functioning better than the conventional PID Controller IIUM Press 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/21701/1/DESIGN_AND_IMPLEMENTATION_OF_AN_OPTIMAL_FUZZY_LOGIC_CONTROLLER_USING_EGENTIC_ALGORITHM.pdf Abdulazeez, Salami Femi and Adetunji, Lawal Wahab and Khan, Sheroz and Alam, A. H. M. Zahirul and Salami, Momoh Jimoh Emiyoka and Hameed, Shihab A. and Hassan Abdalla Hashim, Aisha and Islam, Md. Rafiqul (2011) Design and implementation of an optimal fuzzy logic controller using egentic algorithm. In: Principle of Transducer Devices and Components. IIUM Press, Kuala Lumpur, pp. 249-264. ISBN 978-967-418-172-7 http://rms.research.iium.edu.my/bookstore/default.aspx
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Abdulazeez, Salami Femi
Adetunji, Lawal Wahab
Khan, Sheroz
Alam, A. H. M. Zahirul
Salami, Momoh Jimoh Emiyoka
Hameed, Shihab A.
Hassan Abdalla Hashim, Aisha
Islam, Md. Rafiqul
Design and implementation of an optimal fuzzy logic controller using egentic algorithm
description Most control systems suITer from problems related to undesirable overshoot, longer settling times aoo vibrations while going from one state 10 an(){her state. Works so far reponed techniques which are on how to oveTCQme or reduce the effects of these issues for ensuring smoother and finely tuned eolltrolling proceM. The devised solution is softwllrebased which employs an algorithmic approach for programming II PICI6F877A microcontroller, thus eliminating allogether the parametric dependence issues while adding the benefits of easier modification to suit a given control system for varying operational conditions_ The approach is first simulated using MATLAB/and the simulated results are verified by programming {he PICI6I'g77A mierocontrolter with {he algorithm and using it on a temperature control system where a fan is regulated in response to variations in the ambient system temperature. The results justify the effectiveness of the approach implemented in this study and they lUnher prove toot the optimized Fuzzy Logic Controller is functioning better than the conventional PID Controller
format Book Chapter
author Abdulazeez, Salami Femi
Adetunji, Lawal Wahab
Khan, Sheroz
Alam, A. H. M. Zahirul
Salami, Momoh Jimoh Emiyoka
Hameed, Shihab A.
Hassan Abdalla Hashim, Aisha
Islam, Md. Rafiqul
author_facet Abdulazeez, Salami Femi
Adetunji, Lawal Wahab
Khan, Sheroz
Alam, A. H. M. Zahirul
Salami, Momoh Jimoh Emiyoka
Hameed, Shihab A.
Hassan Abdalla Hashim, Aisha
Islam, Md. Rafiqul
author_sort Abdulazeez, Salami Femi
title Design and implementation of an optimal fuzzy logic controller using egentic algorithm
title_short Design and implementation of an optimal fuzzy logic controller using egentic algorithm
title_full Design and implementation of an optimal fuzzy logic controller using egentic algorithm
title_fullStr Design and implementation of an optimal fuzzy logic controller using egentic algorithm
title_full_unstemmed Design and implementation of an optimal fuzzy logic controller using egentic algorithm
title_sort design and implementation of an optimal fuzzy logic controller using egentic algorithm
publisher IIUM Press
publishDate 2011
url http://irep.iium.edu.my/21701/1/DESIGN_AND_IMPLEMENTATION_OF_AN_OPTIMAL_FUZZY_LOGIC_CONTROLLER_USING_EGENTIC_ALGORITHM.pdf
http://irep.iium.edu.my/21701/
http://rms.research.iium.edu.my/bookstore/default.aspx
_version_ 1672610080779927552