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Offline Identification of Induction Machine Parameters With Core Loss Estimation Using the Stator Current Locus

机译:使用定子电流轨迹的铁损估计离线识别感应电机参数

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High-performance control of induction machines in electric drives requires accurate knowledge of the machine parameters. While parameters have traditionally been identified using the standard no-load and locked-rotor tests, performing the locked-rotor test as prescribed in the IEEE standard requires special test equipment, and is difficult to implement with an inverter due to the low voltages involved. This paper presents a new method for induction machine parameter identification, including core loss conductance, which is based on fitting steady-state experimental data to the stator current locus for various slip frequencies in the stator flux linkage reference-frame. Numerical analysis confirms the accuracy of the method, while experimental results demonstrate its ability to characterize an induction machine over a range of flux levels which include magnetic saturation. Finally, it is shown that model-based predictions of the steady-state machine behavior computed using the parameter estimates provided by the proposed technique are more accurate than those obtained using the IEEE standard, when compared to measurements of the power factor, three-phase input power, and RMS line current.
机译:电驱动中感应电机的高性能控制需要对电机参数的准确了解。传统上使用标准的空载和转子堵转测试来确定参数,但按照IEEE标准规定执行转子堵转测试需要特殊的测试设备,并且由于所涉及的低电压而很难用逆变器实现。本文提出了一种用于感应电机参数识别的新方法,包括铁心损耗电导,该方法基于将稳态实验数据拟合到定子磁链参考系中各种滑差频率的定子电流轨迹上。数值分析证实了该方法的准确性,而实验结果表明,该方法能够在包括磁饱和在内的一系列磁通水平上表征感应电机。最后,表明与使用三相功率因数进行比较时,使用所提出的技术提供的参数估计值计算得出的基于稳态的机器行为的基于模型的预测比使用IEEE标准获得的预测更为准确。输入功率和RMS线电流。

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