MODEL PREDICTIVE CURRENT CONTROL OF PERMANENT MAGNETSYNCHRONOUS MOTORS

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Taşkın E.

IMASCON 2025 AUTUMN, Kocaeli, Türkiye, 28 - 29 Kasım 2025, cilt.1, sa.1, ss.244-254, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 1
  • Basıldığı Şehir: Kocaeli
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.244-254
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Kocaeli Üniversitesi Adresli: Evet

Özet

Permanent magnet synchronous motors (PMSMs) are a popular choice for industrial and electric-vehicleapplications because of their high efficiency and precise controllability. Recently, the adoption of ModelPredictive Control (MPC) techniques in PMSM control has increased significantly.MPC is an approach thatoptimizes control signals by predicting the system's future dynamic behavior, and it has attractedconsiderable attention for its potential to deliver high performance, fast dynamic response, and stable controlin PMSM drives.In PMSM-based systems, current control is one of the most critical components of high-performance drivedesign. Recently, Finite Control Set Model Predictive Control (FCS-MPC) has become a modern controlmethod for PMSM current regulation. In this study, an FCS-MPC-based current control method for a PMSMis modeled and validated through MATLAB/Simulink simulations. Using a discrete-time dq-axis PMSMmodel, the stator currents are predicted for the whole candidate voltage vectors at each sampling instant,and the optimal switching state—i.e., the one with the minimum cost—is imposed directly.The results show that FCS-MPC can offer advantages in terms of fast response and low ripple. At the sametime, computational delay, cost-function selection, and switching-frequency management remain criticaldesign parameters.