基于EKF的PMSM无传感器检测技术仿真研究  

Research on Simulation of Sensorless Detection Technology of PMSM Based on EKF

作　　者：赵伟[1] 黄文娟[2] 马亮[1] 

机构地区：[1]河北联合大学轻工学院,河北唐山063000 [2]唐山职业技术学院机电工程系,河北唐山063000

出　　处：《组合机床与自动化加工技术》2015年第3期121-123,128,共4页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：唐山市应用基础研究项目(13110207b)

摘　　要：在永磁同步电动机(PMSM)的速度控制中,其位置和速度的精度、实时性受到传感器精度的限制。文章在对永磁同步电动机在α-β坐标系下的非线性数学模型进行线性化的基础上,应用扩展卡尔曼滤波器(EKF)来替代电机的角位置与速度传感器,最后通过Matlab/Simulink.仿真平台建立了基于EKF状态估计器的无传感器矢量控制系统。仿真结果表明所提出的控制方法无论在PMSM空载和负载时,均保持较好的跟踪性能,具有良好的转子位置和转速在线估算能力。During the speed control of permanent magnet synchronous motor（ PM SM）,the accuracy and real-time are limited by the precision of the sensor. Based on the linearization of nonlinear equation of PM SM driver in α-β coordinate system,The extended Kalman filter（ EKF） ＇s basic principle and recursion method are studied in detail. And then EKF replaces the angular position of the motor and speed sensor. Finally the sensorless vector control system of the EKF state estimator is established on Matlab/Simulink simulation platform. The simulation results showthat the proposed control method maintains good tracking performance and has a good estimated ability of rotor position and speed online whether the PM SM with load or not.

关 键 词：永磁同步电动机 扩展KALMAN滤波器 无传感器控制 

分 类 号：TH39[机械工程—机械制造及自动化] TG506[金属学及工艺—金属切削加工及机床]