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Comparative Study of Offline Detection Methods of Static Eccentricity for Interior Permanent Magnet Synchronous Machine

机译:内部永磁同步电机静态偏心离线检测方法的比较研究。

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This paper proposes and compares detection methods for the presence of static eccentricity in Interior Permanent Magnet Synchronous Machines (IPMSM). Three methods are proposed. The first method is based on commanded voltages that uses shift in the voltages in d-q plane to detect fault. The second method is based on the incremental inductance that uses shift in peak of the curve for fault detection. The third method uses the combined information present both in current and voltage harmonics to detect the fault. This makes the detection scheme robust with respect to current controller bandwidth. It is shown that all three methods are capable of detecting presence of static eccentricity. For all three methods the machine was tested at healthy, 25% and 50% static eccentricity levels. The machine was controlled using Field Oriented Control (FOC) using Real Time LABVIEW. Two dimensional (2-D) Finite Element Analysis (FEA) was used to model and simulate the machine under healthy and faulty conditions to evaluate the results from experiments.
机译:本文提出并比较了内部永磁同步电机(IPMSM)中存在静态偏心的检测方法。提出了三种方法。第一种方法基于命令电压,该命令电压使用d-q平面中的电压偏移来检测故障。第二种方法基于增量电感,该电感使用曲线峰值的偏移进行故障检测。第三种方法使用电流和电压谐波中都存在的组合信息来检测故障。这使得检测方案相对于当前控制器带宽具有鲁棒性。结果表明,所有三种方法都能够检测静态偏心率的存在。对于这三种方法,均在正常,25%和50%静态偏心率水平下对机器进行了测试。通过使用实时LABVIEW的磁场定向控制(FOC)来控制机器。二维(2-D)有限元分析(FEA)用于在健康和故障条件下对机器进行建模和仿真,以评估实验结果。

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