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<p>To enhance the accuracy of dynamic analysis for large induction motors, a 6.5 MW motor is modeled dynamically using the multi-loop method, with skin effect and magnetic saturation during startup taken into consideration. A dynamic magnetic network model incorporating airgap permeance and leakage flux is established to derive inductance parameters, while the skin effect’s influence on impedance and current distribution is analyzed through a skin effect model. These three models are electromagnetically coupled into an integrated dynamic system, and a corresponding solving method is formulated. The motor’s inductance parameters are computed, followed by an analysis of stator flux density, torque, and speed variations during startup and compare them with the finite element method. The proposed coupled model’s validity is confirmed through comparisons with conventional dynamic models.</p>

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Dynamic Process Analysis of Large-Capacity Induction Motors Based on Multi-Loop Method and Equivalent Magnetic Network

  • 期刊论文

  • 发表日期：

    2026年7月1日

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  • Yunyan Xia,
  • He Huang,
  • Chenhao Wang,
  • Yuhao Yang

摘要

To enhance the accuracy of dynamic analysis for large induction motors, a 6.5 MW motor is modeled dynamically using the multi-loop method, with skin effect and magnetic saturation during startup taken into consideration. A dynamic magnetic network model incorporating airgap permeance and leakage flux is established to derive inductance parameters, while the skin effect’s influence on impedance and current distribution is analyzed through a skin effect model. These three models are electromagnetically coupled into an integrated dynamic system, and a corresponding solving method is formulated. The motor’s inductance parameters are computed, followed by an analysis of stator flux density, torque, and speed variations during startup and compare them with the finite element method. The proposed coupled model’s validity is confirmed through comparisons with conventional dynamic models.