Intelligent monitoring of PMSM based on adaptive fuzzy logic for diagnosis

• Autorzy: Hamdi Pacha Fatima Zohra , Herizi Abdelghafour , Fezai Nadia , Ben Amor Abdessattar

Identyfikatory

DOI

10.15199/48.2023.04.42

Warianty tytułu

PL

Inteligentne monitorowanie PMSM w oparciu o adaptacyjną logikę rozmytą do celów diagnostycznych

• Języki publikacji: EN

Abstrakty

EN

In this paper, the fuzzy adaptive gain monitoring method (AGFLC) uses direct field-oriented control (DFOC) to monitor the speed of permanent magnet synchronous motors (PMSM). This surveillance strategy can detect the error of the velocity parameter, forcing the monitored system to achieve the desired reference model, and eliminating the velocity error. First, we examine the mathematical model describing the internal behavior of PMSM to design our system based on the priory physical model of the system. Then, we propose an intelligent method that combines a fuzzy control algorithm with its related control rules, aiming to monitor the speed of PMSM. This problem is solved by combining the two parameters of error and its variation. A fuzzy algorithm has proven to be an effective method to adjust the speed by suppressing disturbances. Furthermore, an adapted gain fuzzy controller, which provides a fast dynamic response without overshooting at various dynamic actions, has been suggested to compensate for all external disturbances. The obtained simulation results demonstrate the efficiency of the monitoring method for fault detection and localization and verify the performance of the adaptive algorithm control system.

PL

W tym artykule, rozmyta adaptacyjna metoda monitorowania wzmocnienia (AGFLC) wykorzystuje bezpośrednie sterowanie zorientowane na pole (DFOC) do monitorowania prędkości silników synchronicznych z magnesami trwałymi (PMSM). Ta strategia nadzoru może wykryć błąd parametru prędkości, zmuszając monitorowany system do osiągnięcia pożądanego modelu odniesienia i eliminując błąd prędkości. Najpierw badamy model matematyczny opisujący wewnętrzne zachowanie PMSM, aby zaprojektować nasz system w oparciu o priorytyczny model fizyczny systemu. Następnie proponujemy inteligentną metodę, która łączy algorytm kontroli rozmytej z powiązanymi z nim regułami kontroli, mającymi na celu monitorowanie prędkości PMSM. Problem ten jest rozwiązywany poprzez połączenie dwóch parametrów błędu i jego zmienności. Algorytm rozmyty okazał się być skuteczną metodą regulacji prędkości poprzez tłumienie zakłóceń. Ponadto do kompensacji wszystkich zakłóceń zewnętrznych zaproponowano regulator rozmyty o dostosowanym wzmocnieniu, który zapewnia szybką odpowiedź dynamiczną bez przekroczeń przy różnych akcjach dynamicznych. Uzyskane wyniki symulacji pokazują skuteczność metody monitorowania do wykrywania i lokalizacji uszkodzeń oraz weryfikują wydajność systemu sterowania z algorytmem adaptacyjnym.

Słowa kluczowe

EN

permanent magnet synchronous machine; diagnosis; vector control; fuzzy controller; adaptive gain; speed control

PL

maszyna synchroniczna z magnesami trwałymi; diagnostyka; sterowanie wektorowe; sterowanie rozmyte

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2023
• Tom: R. 99, nr 4
• Strony: 241--246
• Opis fizyczny: Bibliogr. 28 poz., rys., tab.

Twórcy

autor

Hamdi Pacha Fatima Zohra

• University of Carthage, National Institute of Applied Sciences and Technology-LISI Lab, Tunisia

autor

Herizi Abdelghafour

• University of M’sila, LGE Research Laboratory, Algeria

autor

Fezai Nadia

• University of Carthage, National Institute of Applied Sciences and Technology-LISI Lab, Tunisia

autor

Ben Amor Abdessattar

• University of Carthage, National Institute of Applied Sciences and Technology-LISI Lab, Tunisia

Bibliografia

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