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Comprehensive Online Parameters Identification of Wound Rotor Synchronous Machine (WRSM) by Proposing Two New Parameters and Using Kalman Observer

机译:提出两个新参数并使用卡尔曼观测器对绕线式同步电机(WRSM)进行综合在线参数识别

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摘要

In this paper an online identification method based on a model of a Wound Rotor Synchronous Machine (WRSM) is proposed. With this method, all the values of the electrical and electromagnetic parameters are determined with no need for any prior knowledge of the machine parameters. In this method, two new parameters are proposed which represent the whole parameter error. An Extended Kalman Filter (EKF) is used to estimate these two new parameters. So that, by operating the machine at three distinct operating points, all the parameter errors can be calculated. To validate the proposed method, in addition to simulation, an experimental test is also performed on a WRSM.
机译:提出了一种基于绕线转子同步电机(WRSM)模型的在线辨识方法。通过这种方法,无需事先了解机器参数即可确定所有电气和电磁参数值。在该方法中,提出了两个代表整个参数误差的新参数。扩展卡尔曼滤波器(EKF)用于估计这两个新参数。这样,通过在三个不同的工作点操作机器,就可以计算出所有参数误差。为了验证所提出的方法,除了仿真之外,还对WRSM进行了实验测试。

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