The impact of Adaptive Fuzzy Logic on the regulation of induction motor speed

• Autorzy: Bouzidi Mohammed , Nasri Abdelfatah , Rahmoune Ben Mohamed , Benatallah Mohammed

Identyfikatory

DOI

10.15199/48.2024.07.28

Warianty tytułu

PL

Wpływ Adaptive Fuzzy Logic na regulację prędkości silnika indukcyjnego

• Języki publikacji: EN

Abstrakty

EN

This study presents a novel approach to developing an adaptive fuzzy logic controller to regulate the speed of a three-phase induction motor. In this paper, we introduce the motor model and various control schemes, such as vector control and PI controllers. We use simulations to test how well two fuzzy controllers, RLF3 and RLF5, can accurately track speed and ignore disturbances, and then we compare their performance to that of a PI controller. Ultimately, it was discovered that fuzzy controllers, particularly the RLF5 controller, possess the ability to diminish the PI response while also exhibiting enhanced speed, greater resilience to parameter variations, and reduced power consumption.

PL

Niniejszy dokument przedstawia zaprojektowany adaptacyjny sterownik logiczny do regulacji prędkości silnika indukcyjnego trójfazowego. Przedstawiamy schematy sterowania i modele silnika, w tym sterowniki wektorowe i PI. Symulacje pokazują, że wydajność sterowników RLF3 i RLF5 w zakresie śledzenia prędkości i odrzucania zakłóceń jest porównywalna z wydajnością sterownika PI. Stwierdzono ostatecznie, że niejasne sterowniki, zwłaszcza RLF5, mogą zmniejszyć reakcję PI, jednocześnie będąc szybszymi, bardziej odpornymi na zmiany parametrów i zużywającymi mniej energii.

Słowa kluczowe

EN

induction motor; fuzzy logic control; speed regulation; simulation

PL

silnik indukcyjny; sterowanie rozmyte; regulacja prędkości; symulacja

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2024
• Tom: R. 100, nr 7
• Strony: 135--139
• Opis fizyczny: Bibliogr. 17 poz., rys., tab.

Twórcy

autor

Bouzidi Mohammed

• Department of Sciences and Technology, University of Tamanghasset, Algeria

• https://orcid.org/0009-0007-0357-8202%3B

autor

Nasri Abdelfatah

• Laboratory Smart Grid and Renewable Energy SGRE University Tahri Mohame Bechar Algeria

• https://orcid.org/0000-0002-8279-6086

autor

Rahmoune Ben Mohamed

• Department of Sciences and Technology, University of Tamanghasset, Algeria

• https://orcid.org/0009-0000-7099-8740

autor

Benatallah Mohammed

• Department of Sciences and Technology, University of Tamanghasset, Algeria

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).