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This chapter presents an improved pulse-amplitude modulation (PAM) method based on fuzzy control for an interior permanent magnet synchronous motor (IPMSM) drive system excited by the silicon carbide (SiC) power inverter under load condition. In detail, an automatic scheme with a 12-step switching pattern is developed for real-time seeking the optimal excitation angle of the three-phase SiC inverter under the PAM control to remarkably decrease oscillations in the dq-axis currents of the IPMSM prototype, where the step-size angle is automatically adjusted by the proposed fuzzy logic controller (FLC). With a novel design of all the inputs and membership functions in the FLC based on absolute values, the number of fuzzy association rules is significantly reduced to 16 for obtaining good control performance with a small computational load in implementation. In fact, the automatic angle excitation scheme can mitigate harmonics in the motor current in experiment, from which it helps to effectively lower the motor core and copper losses. As a result, the overall efficiency of the IPMSM drive system may be increased. The total harmonic distortion (THD) values of the experimental motor current and voltage are also assessed to further verify the effectiveness of the proposed fuzzy-based PAM control in decreasing the IPMSM losses. In addition, physics-based insights of the obtained experimental findings are provided for explanation. Moreover, because this fuzzy-based PAM control is a model-free method, it can be suitably applied for other motor drive systems used in various fields such as mobile robots, electric vehicles, and drones.

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Improved PAM Control with Fuzzy-Based Automatic Angle Excitation for Motor Drives Excited by SiC Inverter in Consideration of Core Loss

  • 动态工具书词条

  • 发表日期：

    2025年

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  • Nguyen Gia Minh Thao,
  • Ton Duc Do,
  • Keisuke Fujisaki

摘要

This chapter presents an improved pulse-amplitude modulation (PAM) method based on fuzzy control for an interior permanent magnet synchronous motor (IPMSM) drive system excited by the silicon carbide (SiC) power inverter under load condition. In detail, an automatic scheme with a 12-step switching pattern is developed for real-time seeking the optimal excitation angle of the three-phase SiC inverter under the PAM control to remarkably decrease oscillations in the dq-axis currents of the IPMSM prototype, where the step-size angle is automatically adjusted by the proposed fuzzy logic controller (FLC). With a novel design of all the inputs and membership functions in the FLC based on absolute values, the number of fuzzy association rules is significantly reduced to 16 for obtaining good control performance with a small computational load in implementation. In fact, the automatic angle excitation scheme can mitigate harmonics in the motor current in experiment, from which it helps to effectively lower the motor core and copper losses. As a result, the overall efficiency of the IPMSM drive system may be increased. The total harmonic distortion (THD) values of the experimental motor current and voltage are also assessed to further verify the effectiveness of the proposed fuzzy-based PAM control in decreasing the IPMSM losses. In addition, physics-based insights of the obtained experimental findings are provided for explanation. Moreover, because this fuzzy-based PAM control is a model-free method, it can be suitably applied for other motor drive systems used in various fields such as mobile robots, electric vehicles, and drones.