Online parameter estimation algorithms of electrical motors are widely employed to achieve robust and high-performance control as well as condition monitoring and fault diagnosis. This article proposes an error analysis to compare the performance of four different online estimation methods of the stator resistance and rotor flux linkage in nonsalient permanent magnet synchronous motors (PMSMs). Starting from the dq-axis steady-state model of the PMSM, including the voltage source inverter (VSI) nonlinearity and the presence of measurement errors, a formulation of the estimation errors is outlined. A probabilistic analysis is then proposed to determine the expected values and the percentile ranges of the estimation errors on the basis of the previously introduced formulations. The theoretical predictions have been verified with an extensive experimental test campaign carried out on an instrumented test rig in multiple operating conditions (OCs) of two different motors. The experimentally validated results show that the considered parameter estimation methods exhibit different performances depending on the motor speed and torque levels. No parameter estimation technique performs notably better than any other under all OCs. As a consequence, the proposed analysis constitutes a useful tool to select the most appropriate estimation method.

中文翻译：

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PMSM 中定子电阻和转子磁通联动在线估计方法的准确性


电机的在线参数估计算法被广泛用于实现稳健和高性能的控制以及状态监测和故障诊断。本文提出了一种误差分析方法，以比较非显著永磁同步电机 （PMSM） 中定子电阻和转子磁通联动的四种不同在线估计方法的性能。从 PMSM 的 dq 轴稳态模型开始，包括电压源逆变器 （VSI） 非线性和测量误差的存在，概述了估计误差的公式。然后提出概率分析，以根据先前介绍的公式确定估计误差的期望值和百分位范围。理论预测已经通过在两种不同电机的多种运行条件 （OC） 的仪表化测试台上进行的广泛实验测试活动得到验证。实验验证的结果表明，所考虑的参数估计方法根据电机速度和扭矩水平表现出不同的性能。在所有 OCs 下，没有一种参数估计技术的性能明显优于任何其他技术。因此，所提出的分析构成了选择最合适的估计方法的有用工具。