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A New on-Line Parameters Identification Method for IPMSMs Using Current Derivative Measurement

机译:使用电流衍生测量的IPMSMS新的在线参数识别方法

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The d-and q-axis inductances of an IPMSM, especially Lq, vary with magnitude of the current of each axis due to the magnetic saturation. The existing on-line methods using recursive algorithms fail to estimate the change of the machine inductances during zero speed and fast transient operations. This paper proposes a new on-line method to estimate machine inductances using measurements of current derivatives and the DC-bus voltage of the inverter during each PWM cycle. In addition, the stator resistance and permanent magnet flux linkage, which vary with the operating temperature, are identified by using the recursive least square (RLS) technique. Extensive simulation and experimental studies were conducted to verify the robustness and effectiveness of the proposed on-line parameter identification method which estimates all four electrical parameters of the IPMSM.
机译:IPMSM的D-and Q轴电感,尤其是l q ,由于磁饱和度,每个轴的电流的幅度变化。使用递归算法的现有在线方法无法估计零速度和快速瞬态操作期间机器电感的变化。本文提出了一种新的在线方法,用于在每个PWM循环期间使用电流衍生物的测量和逆变器的DC总线电压的测量来估计机器电感。另外,通过使用递归最小二乘(RLS)技术来识别与工作温度不同的定子电阻和永磁磁通量连杆。进行广泛的模拟和实验研究以验证所提出的在线参数识别方法的鲁棒性和有效性,估计IPMSM的所有四个电气参数。

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