基于滑动平均滤波的永磁电机无位置传感器控制策略*
Sensorless Control Strategy of Permanent Magnet Motor Based on Moving Average Filtering
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摘要: 永磁同步电机无传感器控制能够显著提高驱动系统的鲁棒性和可靠性,并降低成本。针对基于高频信号注入无传感器控制中滤波环节导致系统性能降低的问题,提出一种基于滑动平均滤波的无传感器控制策略。在分析高频信号处理环节对电流环及转子位置观测性能影响基础上,进而提出一种基于滑动平均滤波的无传感器控制方法。该方法利用滑动平均滤波代替电流环中反馈通路上以及位置误差获取环节的传统滤波器,提高了无传感器系统控制性能。试验结果表明,该方法可减少反馈电流谐波含量,有效提升系统带宽;同时可有效提取高频电流,改善位置观测动态性能。Abstract: Sensorless control of PMSM can significantly improve the robustness and reliability of the drive system and reduce the cost. Aiming at the problem of system performance degradation caused by filtering in sensorless control based on high frequency signal injection, an improved sensorless control strategy based on moving average filtering is proposed. First of all, based on the analysis of the high frequency signal processing part of current loop and the rotor position based on observed performance impact, a kind of sensorless control method based on moving average filter is put forward. Instead of the position error in the feedback path in the current loop and link of the traditional filter, the moving average filter is used in this method, the control performance without sensor system is improved. Experimental results show that the harmonic content of feedback current is reduced and the bandwidth of the system is effectively improved in this method. At the same time, the high frequency current can be extracted effectively and the dynamic performance of position observation can be improved.