一种基于闭环观测器高速SPMLSM无传感驱动系统位置估计改进新型算法∗

摘要

针对贴片式永磁直线同步电机( SPMLSM)无传感驱动控制系统中精确提取位置信息这一问题，文章提出一种在隐极电机不进行物理改造的情况下，通过测量电机端电压和端电流获得SPMLSM动子位置的一种新型改进方法。在建立SPMLSM三相静止坐标系电压模型上，通过派克变换，推导出其旋转坐标系(d-q轴)电压模型，在此基础上得到交轴电流微分方程后可求出电流微分；另外通过电流测量电路可得到实际的交轴电流微分，通过这两个电流微分的差值驱动一个闭环观测器，再对输出的磁极位置估计值偏差进行PI自适应处理，从而估计出电机的位置。仿真表明，该算法简便、易于实现，并能够在高速时准确地估计出电机的位置信息。%It’ s the key that estimate the pole position accurately to achieve high performance for closed-loop control system in the SPMLSM sensorless drive system. This article presents a simple method to achieve the SPMLSM position by measure the motor terminal voltage and current in the case of salient pole motor with-out physical modification. Based on the three-phase stationary coordinate system of SPMLSM voltage model, resulting in cross-axis current differential equations from its rotating coordinate system( d-q axis) voltage mod-el through by Parker transformed. On the other hand ,get the actual alternating axis current by current measur-ing circuit . By driving a closed-loop observer through difference between the two current differential to process the difference of magnetic polo position by PI algorithm,then estimate the position of the motor. The simulation results show that the algorithm is simple which can be easily implemented and estimates the position of the mo-tor during the high-speed.