Sensorless current prediction in single phase inverter circuits with machine learning algorithms
Yükleniyor...
Dosyalar
Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erol Kurt
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Inverter circuits are widely used in power electronics applications such as electric motor control, induction heating or different Alternating Current (AC) loads. The control signal applied to the switching elements can affect the quality of the sinusoidal signal that occurs at the output of the inverter circuit by the means of voltage and current values. The inverter circuit topologies are generally designed as closed loop. However, these cause complexity of the circuit topology, increase the production costs and give difficulties in designing the control signals. In the present work, simulations of a single-phase inverter circuit with the Sinusoidal Pulse Width Modulation (SPWM) control signal are performed. Thus, the effect of the SPWM signals on the output of the inverter has been observed by changing the Modulation rate (M), the carrier signal frequency (ftc) and the reference signal frequency (fr). Through the data obtained, the output current of a phase inverter without a sensor is estimated by Machine Learning Algorithms (MLA) such as MultiLayer Perceptron (MLP), Support Vector Machine (SVM) and K-Nearest Neighbors (KNN).
Açıklama
Anahtar Kelimeler
Inverter Circuit, Machine Learning Algorithms, Parameter Estimating, Sensorless Control
Kaynak
WoS Q Değeri
Scopus Q Değeri
Q3
Cilt
5
Sayı
3
Künye
Ture, H., Balci, S., Aslan, M. F., & Sabanci, K. (2021). Sensorless current prediction in single phase inverter circuits with machine learning algorithms. Journal of Energy Systems, 5(3), 221-230. doi:10.30521/jes.932581
