ÇOK SEVİYELİ EVİRİCİ BESLEMELİ ASENKRON MOTOR İÇİN YÜKSEK PERFORMANSLI VEKTÖR DENETİM STRATEJİSİ

Bu makalede, Çok Seviyeli Evirici (ÇSE) beslemeli asenkron motor sürücü sistemi için yüksek performanslı bir vektör denetim stratejisini sunulmuştur. Önerilen sürücü sisteminde hız izleme performansını iyileştirmek için bir uyarlamalı ve on-line eğitimli sugeno tip sinirsel-bulanık hız denetleyici kullanılmıştır. ÇSE için Darbe Genişlik Modülasyonlu (DGM) işaret üretimi uzay vektör DGM algoritması ile elde edilmiştir. Tüm sürücü sistemi DS1104 denetleyici kart kullanılarak gerçek-zamanda gerçekleştirilmiştir.  Önerilen sürücü sistemin performansı; referans hız değişimleri, mekanik parametre değişimleri ve yük değişimleri altında deneysel ortamda test edilmiştir. Elde edilen deneysel sonuçlardan, önerilen sürücü sistemin denetim performansının tatmin edici olduğu görülmüştür.

HIGH-PERFORMANCE VECTOR CONTROL STRATEGY FOR MULTILEVEL INVERTER FED INDUCTION MOTOR

This paper presents a high-performance vector control strategy for Multilevel Inverter (MLI) fed induction motor drive system. In the proposed drive system, an adaptive and online trained sugeno type neuro-fuzzy speed controller is used to improve the speed tracking performance. The generation of Pulse Width Modulation (PWM) patterns for multilevel inverter is obtained using space vector PWM algorithm. The complete drive system is implemented in real time using DS1104 controller card. Using the experimental setup, the performance of the proposed drive system is tested under different speed commands, mechanical parameter variations and load disturbances. The experimental results show that control performance of the proposed drive system is satisfactory. 

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