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: | , |
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| Format: | Article |
| Language: | Russian |
| Published: |
Belarusian National Technical University
2009-04-01
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| Series: | Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика |
| Subjects: | |
| Online Access: | https://energy.bntu.by/jour/article/view/503 |
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| Summary: | 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. |
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| ISSN: | 1029-7448 2414-0341 |