基于RLS算法的高频响应电流提取策略研究

Study of Extraction Strategy of High-Frequency Response Current Based on RLS Algorithm

为进一步提高永磁直线同步电动机无传感器转子位置的检测精度,提出采用现代滤波技术提取永磁直线同步电动机动子绕组中的高频响应电流的自适应滤波方法。在分析基于递归最小二乘算法(RLS)的自适应滤波器原理和永磁直线同步电动机的旋转高频电压信号注入法的数学模型的基础上,利用基于RLS算法的自适应滤波器的抽头权值可以根据误差的大小进行自调整的特点,将基于RLS算法的自适应滤波器与永磁直线同步电动机旋转高频电压信号注入法相结合,以提取高频响应电流。在全速条件下进行了仿真研究,频谱分析结果表明,基于RLS算法的自适应滤波器提取的高频响应电流中杂波成分比利用巴特沃斯带通滤波器提取的高频响应电流中的杂波成分少,有利于减小杂波电流的干扰,进而提高永磁直线同步电动机转子位置的检测精度。

For further improving the sensorless rotor position detection accuracy of the permanent magnet linear syn-chronous motor （PMLSM）,the adaptive filter method based on the modern filter technology was proposed to extract the high-frequency response current of the stator winding. According to the principle of the adaptive filter based on the recursiveleast-square algorithm（RLS） and the mathematical model of the rotating high-frequency voltage signal injection method a-bout PMLSM, the adaptive filter based on the RLS algorithm was used to extracted to the high-frequency response currentby the characteristic that the tap weights of the adaptive filter may self-adjust on the basis of the error in this paper whenthe rotating high-frequency voltage signal method was applied to detect the rotor position of PMLSM. The simulation experi-ments were done at the full speed. The results of spectrum analysis show that the clutter in the high-frequency response cur-rent extracted with the adaptive filter based on the RLS algorithm is less than that with the butterworth band-pass filter,andthat is beneficial to educe the clutter current interference and improve the detection accuracy of the rotor position.