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Detrimental Effect Elimination of Current Sensor Accuracy Uncertainty for High-Precision Position Sensorless Control of Interior Permanent Magnet Synchronous Motor Drives

机译:用于高精度位置无传感器控制的电流传感器精度不确定性的有害效果消除了内部永磁同步电动机驱动器的高精度位置无传感器控制

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摘要

The precision of position estimation is highly dependent on the accuracy of multiple current sensors, whereas the conventional error calibration strategies for current sensor accuracy uncertainty (SAU) problem have limitations regarding the position sensorless controlled drives. In order to solve this thorny problem, this article proposes a mutual calibration strategy for the multiple current sensors in an interior permanent magnet synchronous motor (IPMSM) drive. The proposed current sensor error calibration strategy takes full advantage of the correlation among the multiple current sensors themselves without using any complicated observers. Moreover, the traditional seven-segment space vector pulsewidth modulation technology is applied without modification. The only change is reflected in several sets of the artificially added current sampling points. The effectiveness of the proposed strategy is verified by experimental results on a 5-kW IPMSM motor prototype, which shows that the calibrated current sensors exhibit improved accuracy, and the position estimation accuracy is also guaranteed.
机译:位置估计的精度高度依赖于多电流传感器的准确性,而电流传感器精度的传统误差校准策略(SAU)问题具有关于位置无传感器控制驱动器的限制。为了解决这个棘手的问题,本文提出了内部永磁同步电动机(IPMSM)驱动器中的多电流传感器的相互校准策略。所提出的电流传感器误差校准策略在不使用任何复杂的观察者的情况下充分利用多电流传感器之间的相关性。此外,还应用了传统的七段空间矢量脉冲宽度调制技术而无需修改。唯一的变化被反映在几组人工添加的当前采样点中。通过5千瓦IPMSM电机原型的实验结果验证了所提出的策略的有效性,表明校准电流传感器表现出改善的精度,并且还保证了位置估计精度。

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