Fuzzy Logic Controller Based on Genetic Algorithm for Electric Drive of Crane Trolley

The paper describes a methodology based on the genetic algorithm that permits to automate the process for obtaining optimum rule bases while applying a controller based on a fuzzy logic. Using a specific structure of  a chromosome, a special mutation operation and an adequate fitness function  the p...

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Main Authors: S. E. Alavi, I. N. Petrenko
Format: Article
Language:Russian
Published: Belarusian National Technical University 2009-04-01
Series:Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика
Subjects:
ru
Online Access:https://energy.bntu.by/jour/article/view/503
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author S. E. Alavi
I. N. Petrenko
author_facet S. E. Alavi
I. N. Petrenko
author_sort S. E. Alavi
collection DOAJ
description The paper describes a methodology based on the genetic algorithm that permits to automate the process for obtaining optimum rule bases while applying a controller based on a fuzzy logic. Using a specific structure of  a chromosome, a special mutation operation and an adequate fitness function  the proposed methodology makes it possible to select a fuzzy rule base, to minimize a number of rules, rationally to place input sets of fuzzy functions and corresponding arrangement of output singletons in the form of single-element sets. The paper presents an example when the methodology allows to reduce a number of rules by two fold and, consequently, calculative control procedure without any deterioration in quality control.
format Article
id doaj-art-fddb12bcb6eb4b3bbfa45de23c8f2c46
institution Kabale University
issn 1029-7448
2414-0341
language Russian
publishDate 2009-04-01
publisher Belarusian National Technical University
record_format Article
series Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика
spelling doaj-art-fddb12bcb6eb4b3bbfa45de23c8f2c462025-02-03T05:35:46ZrusBelarusian National Technical UniversityИзвестия высших учебных заведений и энергетических объединенний СНГ: Энергетика1029-74482414-03412009-04-01021722496Fuzzy Logic Controller Based on Genetic Algorithm for Electric Drive of Crane TrolleyS. E. Alavi0I. N. Petrenko1Белорусский национальный технический университетБелорусский национальный технический университетThe paper describes a methodology based on the genetic algorithm that permits to automate the process for obtaining optimum rule bases while applying a controller based on a fuzzy logic. Using a specific structure of  a chromosome, a special mutation operation and an adequate fitness function  the proposed methodology makes it possible to select a fuzzy rule base, to minimize a number of rules, rationally to place input sets of fuzzy functions and corresponding arrangement of output singletons in the form of single-element sets. The paper presents an example when the methodology allows to reduce a number of rules by two fold and, consequently, calculative control procedure without any deterioration in quality control.https://energy.bntu.by/jour/article/view/503ru
spellingShingle S. E. Alavi
I. N. Petrenko
Fuzzy Logic Controller Based on Genetic Algorithm for Electric Drive of Crane Trolley
Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика
ru
title Fuzzy Logic Controller Based on Genetic Algorithm for Electric Drive of Crane Trolley
title_full Fuzzy Logic Controller Based on Genetic Algorithm for Electric Drive of Crane Trolley
title_fullStr Fuzzy Logic Controller Based on Genetic Algorithm for Electric Drive of Crane Trolley
title_full_unstemmed Fuzzy Logic Controller Based on Genetic Algorithm for Electric Drive of Crane Trolley
title_short Fuzzy Logic Controller Based on Genetic Algorithm for Electric Drive of Crane Trolley
title_sort fuzzy logic controller based on genetic algorithm for electric drive of crane trolley
topic ru
url https://energy.bntu.by/jour/article/view/503
work_keys_str_mv AT sealavi fuzzylogiccontrollerbasedongeneticalgorithmforelectricdriveofcranetrolley
AT inpetrenko fuzzylogiccontrollerbasedongeneticalgorithmforelectricdriveofcranetrolley