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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Format: | Article |
Language: | Russian |
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Belarusian National Technical University
2009-04-01
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Series: | Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика |
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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 |