During the last years, different methods for identifying permanent magnet synchronous motor (PMSM) parameters have been developed. Such methods allow a better characterization of PMSMs, thus enabling a better control. This article presents a novel PMSM parameter estimation method based on the differential power factor due to the harmonic distortion, which allows the identification of the motor parameters from data acquisitions representing the entire torque-speed range. This method does not require measuring any geometric parameters, thus avoiding motor disassembly, or prior knowledge of the applied field oriented control (FOC) strategy. It also enables identifying the current, voltage, and dq components of the flux linkage without knowing the rotor position. The proposed method is based on a dq electrical model that considers the harmonic components of the electrical magnitudes. It avoids to apply any optimization technique, thus requiring a low computational burden. The method is first validated experimentally by comparing the identified dq current space vector against the acquired one using a resolver associated with a commercial drive. Finally, it is further validated by using a second PMSM associated with a sensorless drive, comparing the identified dq inductances with ground truth data obtained by a validated method.

中文翻译：

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基于差分功率因数的无传感器 FOC PMSM 参数估计


在过去的几年中，已经开发了用于识别永磁同步电机（PMSM）参数的不同方法。此类方法可以更好地表征 PMSM，从而实现更好的控制。本文提出了一种基于谐波失真导致的差分功率因数的新颖 PMSM 参数估计方法，该方法允许从代表整个扭矩-速度范围的数据采集中识别电机参数。该方法不需要测量任何几何参数，从而避免了电机拆卸，也不需要预先了解所应用的磁场定向控制（FOC）策略。它还可以在不知道转子位置的情况下识别磁链的电流、电压和 dq 分量。所提出的方法基于 dq 电气模型，该模型考虑了电气幅度的谐波分量。它避免应用任何优化技术，因此需要较低的计算负担。该方法首先通过使用与商业驱动器相关的解析器将识别的 dq 电流空间向量与获取的向量进行比较来进行实验验证。最后，通过使用与无传感器驱动器关联的第二个 PMSM，将识别的 dq 电感与通过验证方法获得的地面实况数据进行比较，进一步对其进行验证。