考虑交叉饱和的在线磁链平面估计的IPMSM每安培最大转矩控制

Suzuka Sasayama, Yuki Shimizu, S. Morimoto, Y. Inoue, M. Sanada
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引用次数: 0

摘要

内部永磁同步电机(ipmms)用于各种应用,需要高效率的控制。最大转矩/安培(MTPA)控制是高效控制永磁同步电动机的方法之一。由于电机参数随磁饱和而变化,MTPA控制不容易实现。在此,我们提出了一种完全在线和自动的MTPA控制方法。为了在驱动电机时找到MTPA点,需要对整个磁链曲面进行预测。因此,在考虑磁交叉饱和影响的特定电流条件下,磁链曲面由传感器信息近似成一个平面。利用估计的磁链平面和梯度上升法实现MTPA控制。仿真结果表明,该算法在两个搜索周期内获得最大转矩,搜索周期为0.06 s。该方法适用于较宽的电流范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximum Torque per Ampere Control of IPMSM Using Online Flux Linkage Plane Estimation Considering Cross Saturation
Interior permanent magnet synchronous motors (IPMSMs) are used for various applications and high efficiency control is required. Maximum torque per ampere (MTPA) control is one of the methods to control IPMSMs with high efficiency. Because the motor parameters vary with magnetic saturation, MTPA control cannot be easily realized. Here, we propose a fully online and automatic MTPA control method. To find the MTPA point while driving the motor, it is necessary to predict the entire flux linkage surface. Therefore, the flux linkage surface is approximated by a plane from the sensor information at a specific current condition that considers the effect of magnetic cross saturation. The MTPA control is achieved using the estimated flux linkage plane and the gradient ascent method. The simulation results showed that the torque was maximized in two search periods, which was completed in 0.06 s. The proposed method was effective for a wide current range.
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