Investigation of Vector Control Applications for Asynchronous Machines Using Online Parameter Estimation Methods

Year 2023, , 153 - 161, 31.05.2023

Nihat Pamuk

https://doi.org/10.35193/bseufbd.1200299

Abstract

Two different methods are used in dynamic model vector control applications of asynchronous machines. The first
of these methods is to use the derivative information of the state variables based on the system observability
principle. The second is the use of instantaneous active and reactive power measurement results as a new method.
The classical equivalent circuit model is used in steady-state studies of parameter estimation methods. In dynamic
systems, methods based on nonlinear minimization of the cost function, different initial values, and giving more
precise estimation results are used. In this study, the dynamic system structure is set up as the square sum of the
difference between parameter estimate values. Different parameter estimation methods were used for
asynchronous machine models, and test results under no load and full load were examined. The impedance
measurement results in parameter estimation methods were compared with the measurement results obtained from
the model. It has been shown that the test results performed in real time are very close to the offline and nonlinear
parameter estimation values and their accuracy has been proven.

Keywords

Asynchronous Machine, Vector Control, Dynamic Model, Parameter Estimation Methods

Asenkron Makineler için Çevrimiçi Parametre Tahmin Metotları Kullanılarak Vektör Kontrol Uygulamalarının İncelenmesi

Abstract

Asenkron makinaların dinamik model vektör kontrol uygulamalarında iki farklı yöntem kullanılmaktadır. Bu
yöntemlerden ilki sistem gözlenebilirlik ilkesine dayanan durum değişkenlerine ait türev bilgilerinin
kullanılmasıdır.İkincisi ise yeni bir yöntem olarak önerilen aktif ve reaktif güç ölçüm sonuçlarının anlık olarak
paylaşılmasıdır. Parametre tahmin yöntemlerinin kararlı durum çalışmalarında klasik eşdeğer devre
modelikullanılmaktadır. Dinamik sistemlerde ise,maliyet fonksiyonunun doğrusal olmayan minimizasyonuna
dayanan, başlangıç değerleri birbirinden farklı olan ve daha kesin tahmin sonuçlarıveren yöntemler
kullanılmaktadır. Bu çalışmada, dinamik sistem yapısı parametre tahmin değerleri arasındaki farkın karesel
toplamı olacak şekilde kurulmuştur. Asenkron makine modelleri için farklı parametre tahmin yöntemleri
kullanılmış, yüksüz ve tam yük altındaki testsonuçları incelenmiştir. Empedans ölçümsonuçları ile, modelden elde
edilen ölçüm sonuçları karşılaştırılmıştır. Gerçek zamanlı gerçekleştirilen deney sonuçlarının çevrimdışı olarak gerçekleştirilen ve doğrusal olmayan parametre tahmin değerlerineçok yakın oldukları gösterilmiş ve doğrulukları
ispatlanmıştır.

Keywords

Asenkron Makine, Vektör Kontrolü, Dinamik Model, Parametre Tahmin Metotları

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