A Regression-Based Approach to Sector Detection for Three-Level NPC Inverter Using Space Vector Pulse Width Modulation


Özen F., ORTAÇ KABAOĞLU R., MUMCU T. V.

International Journal of Circuit Theory and Applications, 2026 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1002/cta.70356
  • Dergi Adı: International Journal of Circuit Theory and Applications
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, zbMATH
  • Anahtar Kelimeler: NPC inverter, regression techniques, renewable energy, sector detection, space vector pulse width modulation
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

Inverters are essential for reducing total harmonic distortion (THD) and power losses, while improving system efficiency. In this study, a three-level neutral point clamped (NPC) inverter using space vector pulse width modulation (SVPWM) is presented. The primary objective is to perform regression-based sector prediction for a three-level NPC inverter. Sector prediction performance is evaluated using linear, exponential, and polynomial regression methods. The linear regression achieved the best performance with 0.9722 R2, 0.2452 RMSE, and 0.2846 MAE, outperforming the polynomial (0.9586 R2) and exponential (0.8712 R2) models. Quantitatively, the linear model provides a 14.4% accuracy improvement over the polynomial model and a 51.5% improvement over the exponential model. Furthermore, the inverter output shows low distortion, achieving 0.29% THD in simulation and 1.9% THD in experimental measurements. The model is analyzed for output current, voltage, and THD. The results show a high consistency between simulation, experimental validation, and regression models. This approach reduces the computational complexity of three-level NPC inverters. The results confirm both the theoretical accuracy and practical applicability of the proposed model and illustrate its potential to improve power conversion efficiency and power quality.