基于EKF的永磁同步电机转子位置和速度估计  

Speed and Rotor Position Estimation for PMSM Based on EKF

作　　者：江俊[1] 沈艳霞[1] 纪志成[1] 

机构地区：[1]江南大学控制科学与工程研究中心电气自动化研究所,江苏无锡214122

出　　处：《系统仿真学报》2005年第7期1704-1707,共4页Journal of System Simulation

摘　　要：提出了一种新颖的基于EKF(扩展卡尔曼滤波)实现PMSM(永磁同步电机)转子位置和速度估计的方法。利用该算法,通过测量电机的端电压和流过定子线圈的电流在线估计电机转子的位置和速度,实现了永磁同步电机的无传感器控制策略。仿真结果验证了该算法的可行性。A novel method to estimate the speed and rotor position of permanent magnet synchronous motors based on extended Kalman filter was introduced. By using this algorithm and monitoring stator voltages and currents, it is possible to estimate the speed and rotor position and implement PMSM drives without position and speed sensors. An improved method for extended Kalman filter that has better calculating precision has also been proposed. The simulation results show it efficient.

关 键 词：扩展卡尔曼滤波 永磁同步电机 速度估计 无传感器控制 

分 类 号：TM341[电气工程—电机]