基于线性化EKF的永磁同步电机无位置传感器控制被引量：6

Sensorless Control for PMSMs Based on Linear EKF

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摘要本文分析了传统扩展卡尔曼滤波器在永磁同步电机无位置传感器控制中的应用原理,针对其非线性、计算量大的特点,构建了旋转坐标系下的扩展卡尔曼滤波器模型,并考虑了转动惯量的影响,最终提出了一种基于换元法的线性化算法。通过理论推导和仿真实验,比较分析了该算法和传统扩展卡尔曼滤波器算法。结果表明该算法计算量小,能准确地估计转子位置和转速,具有良好的稳态精度和动态特性。 The traditional extended Kalman filter（EKF） theory used for PMSMs senorless control is analyzed. In allusion to its nonlinear and large amounts of calculation, a model of EKF in consideration of the effect of inertia in the rotating coordinate is created and a linear algorithm based on the method of substitution is presented. The new algorithm is compared with the traditional EKF algorithm by theoretical derivation and simulation analysis. The results show that the proposed algorithm has a small calculation and it can accurately estimate rotor position and speed with good static and dynamic performance.

作者朱李超

机构地区上海大学机电工程与自动化学院

出处《大电机技术》北大核心 2014年第2期10-13,39,共5页 Large Electric Machine and Hydraulic Turbine

关键词扩展卡尔曼滤波器永磁同步电机无位置传感器 EKF PMSMs sensorless control

分类号 TM341 [电气工程—电机]

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