基于降阶EKF的永磁同步电机转速和磁链观测器

摘要

在永磁同步电机(PMSM)无速度传感器直接转矩控制中,针对扩展卡尔曼滤波(EKF)算法复杂、实时性较差等问题,提出了一种基于降阶扩展卡尔曼滤波器(REKF)的预估永磁同步电机磁链和转速的新算法.仿真结果证明该算法不仅延续了传统扩展卡尔曼滤波算法的优势,且算法更加简单,更易于数字化实现,鲁棒性好.%At the sensorless PMSM-DTC system, considering the complexity and non-real-time problems in extended Kalman filter( EKF), a new algorithm for predicting the stator flux linkage and speeds of rotors based on reduced-order extended Kalman filter{ REKF) is proposed. The simulation results demonstrate that this algorithm not only inherit the superiority of EKF, but also is briefer and easy for the digital implementation, and has a good robustness.