M. Fatih ÇORAPSIZ, Mehmet YILMAZ, Serdar TEZGEL

LabVIEW Kullanarak Asenkron Motorlar Clarke-Park Dönüşümleri için Grafik Kullanıcı Arayüzü

Herhangi bir elektriksel sistem, endüstriyel uygulamalarda kullanılmadan önce farklı çalışma koşullarıaltında davranışlarının incelenmesi gerekmektedir. Sistemin farklı koşullarda davranışlarınıngözlemlenebilmesi için öncelikle matematiksel modeli oluşturulmalıdır. Bir elektromekanikdönüştürücü olan üç fazlı asenkron motorların zamanla değişen akım ve gerilim ifadesinden dolayımodellenmesi oldukça zordur. Bu tarz motorların dinamik analizi yapılırken ortak bir referans sistembelirlenmesi gerekmektedir. Üç fazlı asenkron motorların analizini kolaylaştırmak için en çok kullanılanyöntemler Clarke ve Park dönüşümleridir. Bu çalışmada Clarke ve Park dönüşümlerinin öğretilmesiamacıyla görsel bir arayüz hazırlanmıştır. Kullanıcılar arayüz aracılığıyla 3 fazlı (?,?, ?) eksendenreferans 2 faz (?, ?) eksene ve (?, ?) eksen sisteminde tanımlanmış büyüklüklerde ? açısıyla (?, ?) eksenine taşınmaktadır. Hazırlanan arayüz ile kullanıcılar gerilim, frekans ve açı değerlerini değiştirerekbunların Clarke ve Park dönüşümleri üzerine olan etkisini grafiksel olarak gözlemleyebilmektedir. Ayrıcaters Clarke ve Park dönüşümleriyle 2 fazlı eksenden 3 fazlı eksene dönüşüm yapılmaktadır. Dönüşümünmatematiksel modellenmesi ve arayüz LabVIEW programı kullanılarak yapılmıştır.

Graphical User Interface for Asynchronous Motors Clarke-ParkTransforms Using LabVIEW

Before any electrical system is used in industrial applications, its behavior under different operating conditions must be studied. A mathematical model must be constructed beforehand in order to observe the behavior of the system under different conditions. Modeling of three-phase asynchronous motorswith an electromechanical converter is very difficult due to the time varying current and voltage. While performing dynamic analysis of such motors, a common reference system must be determined. The most commonly used methods to facilitate the analysis of three-phase induction motors are ClarkePark transforms. In this study, a visual interface has been prepared to ease the teaching of Clarke-Park transforms. The users are moved from the 3-phase (?,?, ?) axis to the reference 2 phase (?, ?) axis through the interface and to the (?, ?) axis with the ? angle at the magnitudes defined in the (?, ?)axis system. With the interface prepared, users can change the voltage, frequency and angle values and graphically observe their effect on Clarke and Park transforms. In addition, the conversion from 2-phase axis to 3-phase axis is made with inverse Clarke and Park transforms. Mathematical modeling of the transform and the interface were made using LabVIEW.

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Asif, M.J., Shahbaz, T., Hassan, S.U. and Rizvi S.T.H., 2016. Mathematical modelling of 3-phase induction motor to study the Torque vs. Speed characteristics using MATLAB Simulink. 19th International Multi-Topic Conference (INMIC),1-7.
Bellan, D., 2018. Transient Analysis of Single-Line-toGround Faults in Three-Phase Circuits Using Clarke Transformation. 2018 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE), 24-26.
Biswas S., Saluja, J., Roy, S. and Swathika, O. V. G., 2018. Labview Based Optimum Overcurrent Relay Coordination in Distribution Network. 3rd International Conference on Inventive Computation Technologies (ICICT), 870-875.
Bress, T.J., 2013. Effective LabVIEW Programming. NTS Press, 90-105.
Chakraborty, A.K. and Bhattachaya, B., 2016. Determination of α, β and γ-components of a switching state without Clarke transformation. 2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC), 260-263.
Dobrucký, B., Hargaš, L., Koňarik, R. and Koniar, D., 2016. Measurement of multi-phase clarke-transformed waveforms using LabVIEW virtual instrumentation. 2016 International Siberian Conference on Control and Communications (SIBCON), 1-5.
Jeffrey, T. and Kring, J., 2006. LabVIEW for everyone : graphical programming made easy and fun. 3rd edition. Prentice Hall, 41-99.
Mandic, D.P., Kanna, S., Xia, Y., Moniri, A., Junyent-Ferre, A. and Constantinides, A.G., 2019. A Data Analytics Perspective of Power Grid Analysis-Part 1: The Clarke and Related Transforms [Lecture Notes]". IEEE Signal Processing Magazine, 36, 110-116.
O’Rourke, C.J., Qasi, M.M., Overlin, M.R. and Kirtley, J.L., 2019. A Geometric Interpretation of Reference Frames and Transformations: ??0, Clarke, and Park. IEEE Transactions on Energy Conversion, 34, 2070- 2083.
Ramprasath, E. and Manojkumar, P., 2015. Modelling and Analysis of Induction Motor using LabVIEW. International Journal of Power Electronics and Drive System (IJPEDS), 5, 344-354.
Riyadi, S., 2014. Inverse Clarke Transformation based control method of a three-phase inverter for PV-Grid systems. 2014 The 1st International Conference on Information Technology, 351-355.
Sadoughi, J., Ghandehari, R. and Amiri, P., 2013. Comparison and simulation of rotor flux estimators in stationary and rotating reference frame in the vector control of induction motors for low-speed applications. 4th Annual International Power Electronics, 31-37.
Vatansever, F., 2019. Clarke ve Park Dönüşümlerinin Görselleştirilmesi. 7th International Symposium on Innovative Technologies in Engineering and Science, 502-507.
Veena, V.S. and Praveen, R.P., 2014. Mathematical modeling of advanced PMBLDC motor drive for aerospace application. Annual International Conference on Emerging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD), 1-5.
Zhan, L., Liu, Y. and Liu, Y., 2018. A Clarke TransformationBased DFT Phasor and Frequency Algorithm for Wide Frequency Range. IEEE Transactions on Smart Grid, 9, 67-77.