43 / 2025-01-26 17:31:17
Model-Free Predictive Voltage Control for PMSM Drives Based on Inductance Extraction With Two Voltage Vectors
model predictive control,permanent magnet synchronous motor,parameter robustness
Final Paper
Haoran Feng / Soochow University
Yong Yang / Soochow University
Hanghang Cong / Soochow University
Yang Xiao / Soochow University
Kai Ni / Soochow University
Mingdi Fan / Soochow University
Cristian Garcia / Universidad de Talca
Jose Rodriguez / Universidad San Sebastian
In order to decrease the impact of mismatched motor parameters in the model predictive voltage control (MPVC) for permanent magnet synchronous motors, a model-free predictive voltage control method based on inductance extraction with two voltage vectors is proposed. Firstly, an improved predictive model is reconstructed, where the flux linkage and resistance parameters are eliminated to reduce the prediction deviation caused by parameters mismatch. Then, two cost functions are designed to derive the reference voltage equations through partial derivatives, which only include inductance information. Furthermore, an inductance extraction system consisting of an integrator and a low-pass filter is employed to continuously update the inductance information and obtains accurate reference voltages in real time. In addition, an optimal duty cycle (ODC) control method based on the updated inductance is introduced to enhance current tracking performance. Finally, simulation results demonstrate that the proposed method eliminates the impact of motor parameters mismatch and improves the robustness of the system.
Important Date
  • Conference Date

    Jun 05

    2025

    to

    Jun 01

    2026

  • May 30 2025

    Draft paper submission deadline

  • Jun 08 2025

    Registration deadline

Sponsored By
China Southeast University
IEEE Power Electronics Society
Jiangsu Association of Automation
Nanjing Section IE Chapter
Organized By
Southeast University