Sürekli mıknatıslı senkron motorların hız-algılayıcısız model öngörülü akım kontrolü

Yıl 2025, , 355 - 364, 16.08.2024

Rıdvan Demir , Duygu Gümüşcü

https://doi.org/10.17341/gazimmfd.1148954

Öz

Sürekli mıknatıslı senkron motorlar (SMSM’ler) yüksek verimleri, basit yapıları ve/veya geniş hız aralıklarında kullanılabilir olmaları nedeniyle yüksek başarımlı değişken moment veya hız kontrolü gerektiren endüstriyel uygulamalarda ve elektrikli araçlarda yaygın olarak kullanılmaktadır. Bu çalışmada, SMSM’lerin hız-algılayıcısız model öngörülü akım kontrolü için gerekli olan duran eksen takımındaki stator akım bileşenleri ve rotor açısal hızı/konumu ile birlikte yük momentinin eşzamanlı kestirimi için genişletilmiş karmaşık Kalman filtresi (GKKF) tabanlı gözlemleyici tasarlanmıştır. Tasarlanan GKKF gözlemleyicisi ve model öngörülü akım kontrol sistemi sıfır hız ve hız terslendirmelerinide içeren geniş hız aralığında farklı yük momentleri altında zorlayıcı senaryolar ile test edilmiş ve doğrulanmıştır. Ayrıca hem GKKF’nin hem de model öngörülü akım kontrol sisteminin SMSM parametre değişimlerine karşı başarımı analiz edilmiştir. Benzetim sonuçları GKKF gözlemleyicisi ve bu gözlemleyiciyi kullanan hız-algılayıcısız model öngörülü akım kontrol sisteminin oldukça yüksek başarıma sahip olduğunu onaylamaktadır. Ek olarak GKKF gözlemleyicisinin işlem yükü bu çalışmada kestirilen durum ve parametreleri kestiren geleneksel genişletilmiş Kalman filtresi ile karşılaştırılmış ve işlem yükünün düştüğü gösterilmiştir.

Anahtar Kelimeler

Kalıcı mıknatıslı senkron motorlar, genişletilmiş karmaşık Kalman Filtresi, model öngörülü akım kontrol, hız kestirimi.

Destekleyen Kurum

Bu çalışma Kayseri Üniversitesi Bilimsel Araştırma Projeleri Koordinasyon Birimi

Proje Numarası

FKB-2022-1082

Teşekkür

Bu çalışma Kayseri Üniversitesi Bilimsel Araştırma Projeleri Koordinasyon Birimi tarafından FKB-2022-1082 numaralı proje kapsamında desteklenmiştir.

Speed-Sensorless model predictive current control of permanent magnet synchronous motors

Öz

Permanent magnet synchronous motors (PMSMs) are widely used in industrial applications and electric vehicles which require high-performance variable torque and/or speed due to their high efficiency, simple structure, and wide speed range. In this study, an extended complex Kalman filter (ECKF) based observer is designed for simultaneous estimation of the load torque with the stator stationary axis components of stator currents and rotor angular velocity/position required for speed-sensorless model predictive current control of PMSMs. The designed ECKF observer and model predictive current control system has been tested and validated with challenging scenarios under different load torques in a wide speed range including zero speed and speed reversals. In addition, the performance of both the ECKF and the model predictive current control system is analyzed against parameter changes PMSM. The simulation results confirm that the ECKF observer and the speed-sensorless model predictive current control system using this observer have very high performance. In addition, the computational burden of the ECKF observer was compared with the conventional extended Kalman filter, which estimates the states and parameters estimated in this study, and it was shown that the processing computational burden decreased.

Anahtar Kelimeler

Permanent magnet synchronous motors, extended complex Kalman filter, model predictive current control, speed estimation.

Proje Numarası

FKB-2022-1082

Kaynakça

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