基于二阶近似EKF的永磁同步电机无传感器控制策略  

Sensorless Control Strategy for Permanent Magnet Synchronous Motor Based on Second-Order Approximate EKF

作　　者：鲁飞 张可可 龚淼 李宾皑 LU Fei;ZHANG Keke;GONG Miao;LI Bin’ai(East China Power Transmission and Transformation Engineering Co.,Ltd.,Shanghai 201803,China;State Grid Shanghai Electric Power Company,Shanghai 200122,China)

机构地区：[1]华东送变电工程有限公司,上海201803 [2]国网上海市电力公司,上海200122

出　　处：《微特电机》2024年第5期65-69,共5页Small & Special Electrical Machines

基　　金：国网上海电力公司科技项目(520900220016)。

摘　　要：在永磁同步电机(PMSM)无感控制中,采用扩展卡尔曼滤波(EKF)来估计PMSM的转子位置和转速,采用一阶Taylor展开对系统状态模型进行线性化,省略二阶及以上项会带来较大的建模误差。针对该问题,提出了基于二阶近似的EKF方法,保留二阶偏微分项,提高了系统模型精度。仿真实验证明,该方法可以获得比传统方法更精确的估计结果。The extended Kalman filter(EKF)is typically employed in sensorless control of permanent magnet synchronous motors(PMSM)to estimate the rotor position and speed.The system state model was often linearized using the first-order Taylor expansion.Omitting second-order or higher terms during linearization could result in significant modeling errors.In response to the issue,an EKF method based on second-order approximation was proposed,which preserved second-order partial derivatived and improved the accuracy of the system model.Simulation experiments showed that the method could obtain more accurate estimation results than traditional methods.

关 键 词：永磁同步电机 参数估计 无传感器控制 二阶扩展卡尔曼滤波 

分 类 号：TM351[电气工程—电机]