| Autor: |
ŞİT, SAMİ, ÖZÇALIK, HASAN RIZA, KILIÇ, ERDAL |
| Přispěvatelé: |
Hakkari Üniversitesi, Mühendislik Fakültesi, Biyomedikal Mühendisliği Bölümü, 0-Belirlenecek |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
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| Popis: |
In this study, a robust speed control based on adaptive neuro-fuzzy inference technique is proposed for asynchronous motors driven by indirect field oriented vector algorithm. The speed control performance of asynchronous motors is significantly influenced by nonlinear elements and parameter changes in the motor drive. Adaptive neuro-fuzzy controller, PI type classical controller and fuzzy logic controller have been separately developed for the speed control of a sample asynchronous motor. Parameters of ANFIS were tuned by an on-line direct self-tuning technique get better performance, stability and accuracy in speed control process. The performance of adaptive neuro-fuzzy, PI type classical and fuzzy logic controller have been examined for different references and loading conditions in the Matlab/Simulink environment. Simulatio |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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