REMZİ İNAN, RIDVAN DEMİR, MURAT BARUT

ASENKRON MOTORUN KARMA KESTİRİCİ TABANLI HIZALGILAYICILI DOĞRUDAN VEKTÖR KONTROLÜ

Bu çalışmada, asenkron motorlar (ASM’ler) için hız-algılayıcılı karma (hibrid) kestirim algoritması tabanlı doğrudan vektör kontrol (DVK) yöntemi benzetim ortamında tasarlanarak gerçekleştirilmiştir. Önerilen karma kestirim yönteminde stator akımının stator duran eksen takımı (αβ) bileşenleri (??? ve ???), rotor akısının αβbileşenleri (??? ve ???), rotor direnci (?? ′ ) ve stator direnci (?? ) GKF ile kestirilirken; mıknatıslama endüktansı (??) ise çevrim-içi ??-kestiricisi ile kestirilmektedir. Önerilen karma kestirim algoritmasının kestirim ve bu algoritmanın kullanıldığı DVK sisteminin kontrol başarımları; sıfır hız ile anma hızının üzerindeki alan zayıflama bölgesini de kapsayan geniş bir hız aralığında oldukça zorlayıcı parametre ve durum değişimleri altında benzetim temelli test edilmiştir. Benzetim ortamından elde edilen sonuçlar önerilen karma kestiricinin ve bu yüzden DVK sisteminin oldukça yüksek bir başarıma sahip olduğunu göstermektedir. Bu yönleri ile literatürde bilinen ilk çalışmadır.

HYBRID ESTIMATOR BASED DIRECT VECTOR CONTROL OF IM WITH SPEED-SENSOR

In this study, a hybrid estimator based speed-sensored direct vector control (DVC) of induction motor (IM) is implemented in simulation for electrical vehicle drive system applications. The proposed estimator is composed of stochastic based extended Kalman filter (EKF) and online magnetizing inductance estimation method. In hybrid estimation method, stator stationary axis components (αβ) of stator current (??? and ???), αβ- axis components of rotor flux (??? and ???), rotor and stator resistances (?? ′ and ?? )are estimated by EKF and the changes of magnetizing inductance are determined by online magnetizing inductance estimation method. The estimation performance of the hybrid estimation method which is implemented with DVC in simulation platform and the control performance of DVC are tested at a wide speed range varying from zero speed to beyond the rated/based speed defined as field weakening region in the literature under the challenging variations of parameters and states. The results obtained from the simulation show that the proposed hybrid estimator has a very high performance. Also the speed-sensored DVC has been gained the ability to have high control performance over a wide speed range.

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